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Publications by our Members

2024

[1109]
A. Bashardoust, S. Feuerriegel and Y. R. Shrestha.
Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News.
27th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2024). San José, Costa Rica, Nov 09-13, 2024. To be published. Preprint at arXiv. arXiv.
[1108]
M. Windl, M. Schlegel and S. Mayer.
Exploring Users’ Mental Models and Privacy Concerns During Interconnected Interactions.
ACM International Conference on Mobile Human-Computer Interaction (MobileHCI 2024). Athens, Greece, Sep 30-Oct 03, 2024. To be published.
[1107]
P. Jahn, C. M. M. Frey, A. Beer, C. Leiber and T. Seidl.
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024. To be published.
[1106]
Y. Liu, E. Nie, S. Feng, Z. Hua, Z. Ding, D. Wang, Y. Zhang and H. Schütze.
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024. To be published. Preprint at arXiv. arXiv. GitHub.
[1105]
A. Vahidi, L. Wimmer, H. A. Gündüz, B. Bischl, E. Hüllermeier and M. Rezaei.
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024. To be published. Preprint at arXiv. arXiv.
[1104]
J. Pavlopoulos, V. Kougia, E. Garces Arias, P. Platanou, S. Shabalin, K. Liagkou, E. Papadatos, H. Essler, J.-B. Camps and F. Fischer.
Challenging Error Correction in Recognised Byzantine Greek.
1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024) at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published. Preprint available. URL.
[1103]
A. Yüksel, A. Köksal, L. K. Senel, A. Korhonen and H. Schütze.
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish.
1st Workshop on Natural Language Processing for Turkic Languages (SIGTURK 2024) at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published.
[1102]
M. Windl, J. Leusmann, A. Schmidt, S. S. Feger and S. Mayer.
Privacy Communication Patterns for Domestic Robots.
20th Symposium on Usable Privacy and Security (SOUPS 2024). Philadelphia, PA, USA, Aug 11-13, 2024. To be published.
[1101]
S. Yuan, E. Nie, M. Färber, H. Schmid and H. Schütze.
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published.
[1100]
A. H. Kargaran, F. Yvon and H. Schütze.
MaskLID: Code-Switching Language Identification through Iterative Masking.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published. Preprint at arXiv. arXiv. GitHub.
[1099]
Y. Liu, C. Ma, H. Ye and H. Schütze.
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published. Preprint at arXiv. arXiv.
[1098]
M. Zhang, V. Gautam, M. Wang, J. O. Alabi, X. Shen, D. Klakow and M. Mosbach.
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published. Preprint at arXiv. arXiv.
[1097]
M. Aßenmacher, A. Stephan, L. Weissweiler, E. Çano, I. Ziegler, M. Härttrich, B. Bischl, B. Roth, C. Heumann and H. Schütze.
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing.
6th Workshop on Teaching NLP (TeachingNLP 2024) at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. publish.
[1096]
P. Wicke and L. Wachowiak.
Exploring Spatial Schemas in Large Language Models.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published.
[1095]
S. Yuan, E. Nie, M. Färber, H. Schmid and H. Schütze.
GNNAVI: Navigating the Information Flow in Large Language Models by Graph Neural Network.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published.
[1094]
A. Maarouf, D. Bär, D. Geissler and S. Feuerriegel.
HQP: A human-annotated dataset for detecting online propaganda.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published. Preprint at arXiv. arXiv.
[1093]
X. Wang, B. Ma, C. Hu, L. Weber-Genzel, P. Röttger, F. Kreuter, D. Hovy and B. Plank.
My Answer is C: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published. Preprint at arXiv. arXiv.
[1092]
A. Dimmelmeier, H. C. Doll, M. Schierholz, E. Kormanyos, M. Fehr, B. Ma, J. Beck, A. Fraser and F. Kreuter.
Informing climate risk analysis using textual information - A research agenda.
Workshop Natural Language Processing meets Climate Change (ClimateNLP 2024) at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. URL.
[1091]
B. Ma.
Evaluating Lexical Aspect with Large Language Models.
Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2024) at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024. To be published.
[1090]
J. G. Wiese, L. Wimmer, T. Papamarkou, B. Bischl, S. Günnemann and D. Rügamer.
Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal (Extended Abstract).
33rd International Joint Conference on Artificial Intelligence (IJCAI 2024). Jeju, Korea, Aug 03-09, 2024. To be published.
[1089]
P. Wicke, L. Hirlimann and J. M. Cunha.
Using Analogical Reasoning to Prompt LLMs for their Intuitions of Abstract Spatial Schemas.
Analogy-ANGLE Workshop at the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024). Jeju, Korea, Aug 03-09, 2024. To be published.
[1088]
K. Ahn, A. Jadbabaie and S. Sra.
How to Escape Sharp Minima with Random Perturbations.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1087]
K. Bouchiat, A. Immer, H. Yèche, G. Ratsch and V. Fortuin.
Improving Neural Additive Models with Bayesian Principles.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1086]
X. Cheng, Y. Chen and S. Sra.
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1085]
T. Decker, A. R. Bhattarai, J. Gu, V. Tresp and F. Buettner.
Provably Better Explanations with Optimized Aggregation of Feature Attributions.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1084]
S. Eckman, B. Plank and F. Kreuter.
Position: Insights from Survey Methodology can Improve Training Data.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1083]
D. Frauen, V. Melnychuk and S. Feuerriegel.
Fair Off-Policy Learning from Observational Data.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1082]
D. Fuchsgruber, T. Wollschläger, B. Charpentier, A. Oroz and S. Günnemann.
Uncertainty for Active Learning on Graphs.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1081]
F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier and B. Hammer.
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1080]
K. Gatmiry, Z. Li, S. J. Reddi and S. Jegelka.
Simplicity Bias via Global Convergence of Sharpness Minimization.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1079]
K. Gatmiry, N. Saunshi, S. J. Reddi, S. Jegelka and S. Kumar.
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1078]
M. Herrmann, F. J. D. Lange, K. Eggensperger, G. Casalicchio, M. Wever, M. Feurer, D. Rügamer, E. Hüllermeier, A.-L. Boulesteix and B. Bischl.
Position: Why We Must Rethink Empirical Research in Machine Learning.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1077]
P. Holl and N. Thuerey.
Φ-Flow: Differentiable Simulations for PyTorch, TensorFlow and Jax.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1076]
M. Juergens, N. Meinert, V. Bengs, E. Hüllermeier and W. Waegeman.
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1075]
G. Kaissis, S. Kolek, B. Balle, J. Hayes and D. Rückert.
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1074]
K. Lin and R. Heckel.
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1073]
M. Lindauer, F. Karl, A. Klier, J. Moosbauer, A. Tornede, A. C. Mueller, F. Hutter, M. Feurer and B. Bischl.
Position: A Call to Action for a Human-Centered AutoML Paradigm.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1072]
C. Morris, F. Frasca, N. Dym, H. Maron, I. I. Ceylan, R. Levie, D. Lim, M. M. Bronstein, M. Grohe and S. Jegelka.
Position: Future Directions in the Theory of Graph Machine Learning.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1071]
T. Papamarkou, M. Skoularidou, K. Palla, L. Aitchison, J. Arbel, D. Dunson, M. Filippone, V. Fortuin, P. Hennig, J. M. H. Lobato, A. Hubin, A. Immer, T. Karaletsos, M. E. Khan, A. Kristiadi, Y. , S. Mandt, C. Nemeth, M. A. Osborne, T. G. J. Rudner, D. Rügamer, Y. W. Teh, M. Welling, A. G. Wilson and R. Zhang.
Position: Bayesian Deep Learning in the Age of Large-Scale AI.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1070]
D. Rügamer, C. Kolb, T. Weber, L. Kook and T. Nagler.
Generalizing orthogonalization for models with non-linearities.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1069]
Y. Sale, V. Bengs, M. Caprio and E. Hüllermeier.
Second-Order Uncertainty Quantification: A Distance-Based Approach.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1068]
J. Schweisthal, D. Frauen, M. van der Schaar and S. Feuerriegel.
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1067]
Y. Shen, N. Daheim, B. Cong, P. Nickl, G. M. Marconi, C. Bazan, R. Yokota, I. Gurevych, D. Cremers, M. E. Khan and T. Möllenhoff.
Variational Learning is Effective for Large Deep Networks.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL. GitHub.
[1066]
E. Sommer, L. Wimmer, T. Papamarkou, L. Bothmann, B. Bischl and D. Rügamer.
Connecting the Dots: Is Mode Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1065]
B. Tahmasebi and S. Jegelka.
Sample Complexity Bounds for Estimating Probability Divergences under Invariances.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1064]
B. Tahmasebi, A. Soleymani, D. Bahri, S. Jegelka and P. Jaillet.
A Universal Class of Sharpness-Aware Minimization Algorithms.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1063]
D. Tramontano, Y. Kivva, S. Salehkaleybar, M. Drton and N. Kiyavash.
Causal Effect Identification in LiNGAM Models with Latent Confounders.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1062]
T. Wollschläger, N. Kemper, L. Hetzel, J. Sommer and S. Günnemann.
Expressivity and Generalization: Fragment-Biases for Molecular GNNs.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
[1061]
Y. Sun, J. Liu, Z. Wu, Z. Ding, Y. Ma, T. Seidl and V. Tresp.
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search.
Workshop Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators at the 41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. To be published. Preprint at arXiv. arXiv.
[1060]
U. Fischer Abaigar, C. Kern and F. Kreuter.
The Missing Link: Allocation Performance in Causal Machine Learning.
Workshop Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact at the 41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. To be published. Preprint at arXiv. arXiv.
[1059]
D. Rundel, J. Kobialka, C. von Crailsheim, M. Feurer, T. Nagler and D. Rügamer.
Interpretable Machine Learning for TabPFN.
2nd World Conference on Explainable Artificial Intelligence (xAI 2024). Valletta, Malta, Jul 17-19, 2024. DOI. GitHub.
[1058]
F. K. Ewald, L. Bothmann, M. N. Wright, B. Bischl, G. Casalicchio and G. König.
A Guide to Feature Importance Methods for Scientific Inference.
2nd World Conference on Explainable Artificial Intelligence (xAI 2024). Valletta, Malta, Jul 17-19, 2024. Preprint at arXiv. arXiv.
[1057]
S. Dandl, M. Becker, B. Bischl, G. Casalicchio and L. Bothmann.
mlr3summary: Concise and interpretable summaries for machine learning models.
Demo Track of the 2nd World Conference on Explainable Artificial Intelligence (xAI 2024). Valletta, Malta, Jul 17-19, 2024. arXiv.
[1056]
C. Damke and E. Hüllermeier.
Linear Opinion Pooling for Uncertainty Quantification on Graphs.
40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). Barcelona, Spain, Jul 16-18, 2024. To be published. Preprint available. URL. GitHub.
[1055]
N. Franco, J. Spiegelberg, J. M. Lorenz and S. Günnemann.
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing.
40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). Barcelona, Spain, Jul 16-18, 2024. To be published. Preprint available. URL.
[1054]
L. Kook, P. Schiele, C. Kolb, D. Dold, M. Arpogaus, C. Fritz, P. Baumann, P. Kopper, T. Pielok, E. Dorigatti and D. Rügamer.
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.
40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). Barcelona, Spain, Jul 16-18, 2024. To be published. Preprint available. URL.
[1053]
Y. Sale, P. Hofman, T. Löhr, L. Wimmer, T. Nagler and E. Hüllermeier.
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). Barcelona, Spain, Jul 16-18, 2024. To be published. Preprint available. URL.
[1052]
S. Dandl, M. Becker, B. Bischl, G. Casalicchio and L. Bothmann.
mlr3summary: Concise and interpretable summaries for machine learning models.
International R User Conference (useR! 2024). Salzburg, Austria, Jul 08-22, 2024. arXiv. GitHub.
[1051]
S. Fischer and M. Binder.
mlr3torch - Deep Learning in R.
International R User Conference (useR! 2024). Salzburg, Austria, Jul 08-22, 2024. GitHub.
[1050]
B. Ronval, S. Nijssen and L. Bothmann.
Can generative AI-based data balancing mitigate unfairness issues in Machine Learning?.
3rd European Workshop on Algorithmic Fairness (EWAF 2024). Mainz, Germany, Jul 01-03, 2024. To be published.
[1049]
M. Windl and S. S. Feger.
Designing Interactive Privacy Labels for Advanced Smart Home Device Configuration Options.
ACM Conference on Designing Interactive Systems (DIS 2024). Copenhagen, Denmark, Jul 01-05, 2024. DOI.
[1048]
C. Mayrink Verdun, O. Melnyk, F. Krahmer and P. Jung.
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence.
37th Annual Conference on Learning Theory (COLT 2024). Edmonton, Canada, Jun 30-Jul 03, 2024. URL.
[1047]
C. Cipriani, A. Scagliotti and T. Wöhrer.
A minimax optimal control approach for robust neural ODEs.
European Control Conference (ECC 2024). Stockholm, Sweden, Jun 25-28, 2024. To be published. Preprint at arXiv. arXiv.
[1046]
H. Chen, J. Büssing, D. Rügamer and E. Nie.
Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text.
18th International Workshop on Semantic Evaluation (SemEval 2024) co-located with the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 20-21, 2024. URL.
[1045]
M. Ghahremani, M. Khateri, B. Jian, B. Wiestler, E. Adeli and C. Wachinger.
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. PDF.
[1044]
N. Müller, K. Schwarz, B. Rössle, L. Porzi, S. R. Bulò, M. Nießner and P. Kontschieder.
MultiDiff: Consistent Novel View Synthesis from a Single Image.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. URL.
[1043]
S. Aneja, J. Thies, A. Dai and M. Nießner.
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1042]
L. Bastian, Y. Xie, N. Navab and Z. Lähner.
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1041]
M. Brahimi, B. Haefner, Z. Ye, B. Goldluecke and D. Cremers.
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1040]
A.-Q. Cao, A. Dai and R. de Charette.
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv. GitHub.
[1039]
D. Cao, M. Eisenberger, N. E. Amrani, D. Cremers and F. Bernard.
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1038]
W. Cao, C. Luo, B. Zhang, M. Nießner and J. Tang.
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv. GitHub.
[1037]
D. Z. Chen, H. Li, H.-Y. Lee, S. Tulyakov and M. Nießner.
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1036]
Y. Chen, Y. Di, G. Zhai, F. Manhardt, C. Zhang, R. Zhang, F. Tombari, N. Navab and B. Busam.
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1035]
C. Diller and A. Dai.
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1034]
C. Diller, T. Funkhouser and A. Dai.
FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1033]
V. Ehm, M. Gao, P. Roetzer, M. Eisenberger, D. Cremers and F. Bernard.
Partial-to-Partial Shape Matching with Geometric Consistency.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1032]
S. Giebenhain, T. Kirschstein, M. Georgopoulos, M. Rünz, L. Agapito and M. Nießner.
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1031]
K. Han, D. Muhle, F. Wimbauer and D. Cremers.
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1030]
L. Höllein, A. Božič, N. Müller, D. Novotny, H.-Y. Tseng, C. Richardt, M. Zollhöfer and M. Nießner.
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1029]
J. Huang, H. Yu, K.-T. Yu, N. Navab, S. Ilic and B. Busam.
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1028]
H. Jung, G. Zhai, S.-C. Wu, P. Ruhkamp, H. Schieber, G. Rizzoli, P. Wang, H. Zhao, L. Garattoni, S. Meier, D. Roth, N. Navab and B. Busam.
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1027]
T. Kirschstein, S. Giebenhain and M. Nießner.
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1026]
P. Kocsis, J. Philip, K. Sunkavalli, M. Nießner and Y. Hold-Geoffroy.
LightIt: Illumination Modeling and Control for Diffusion Models.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1025]
P. Kocsis, V. Sitzmann and M. Nießner.
Intrinsic Image Diffusion for Indoor Single-view Material Estimation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1024]
H. Li, C. Shen, P. Torr, V. Tresp and J. Gu.
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv. GitHub.
[1023]
L. Li and A. Dai.
GenZI: Zero-Shot 3D Human-Scene Interaction Generation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1022]
S. Niedermayr, J. Stumpfegger and R. Westermann.
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1021]
S. Qian, T. Kirschstein, L. Schoneveld, D. Davoli, S. Giebenhain and M. Nießner.
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1020]
C. Reich, B. Debnath, D. Patel, T. Prangemeier, D. Cremers and S. Chakradhar.
Deep Video Codec Control for Vision Models.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1019]
C. Reich, O. Hahn, D. Cremers, S. Roth and B. Debnath.
A Perspective on Deep Vision Performance with Standard Image and Video Codecs.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1018]
D. Rozenberszki, O. Litany and A. Dai.
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1017]
Y. Siddiqui, A. Alliegro, A. Artemov, T. Tommasi, D. Sirigatti, V. Rosov, A. Dai and M. Nießner.
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1016]
J. Tang, A. Dai, Y. Nie, L. Markhasin, J. Thies and M. Niessner.
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1015]
J. Tang, Y. Nie, L. Markhasin, A. Dai, J. Thies and M. Nießner.
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1014]
A. Toker, M. Eisenberger, D. Cremers and L. Leal-Taixé.
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1013]
S. Weber, T. Dagès, M. Gao and D. Cremers.
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1012]
S. Weber, B. Zöngür, N. Araslanov and D. Cremers.
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1011]
F. Wimbauer, B. Wu, E. Schoenfeld, X. Dai, J. Hou, Z. He, A. Sanakoyeu, P. Zhang, S. Tsai, J. Kohler, C. Rupprecht, D. Cremers, P. Vajda and J. Wang.
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1010]
H. Wu, X. Zuo, S. Leutenegger, O. Litany, K. Schindler and S. Huang.
Dynamic LiDAR Re-simulation using Compositional Neural Fields.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv.
[1009]
Y. Xia, L. Shi, Z. Ding, J. F. Henriques and D. Cremers.
Text2Loc: 3D Point Cloud Localization from Natural Language.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint at arXiv. arXiv. GitHub.
[1008]
L. Yang, L. Hoyer, M. Weber, T. Fischer, D. Dai, L. Leal-Taixé, D. Cremers, M. Pollefeys and L. Van Gool.
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation.
Workshop Synthetic Data for Computer Vision (SynData4CV 2024) at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun 17-21, 2024. To be published. Preprint available. URL.
[1007]
H. Ye, Y. Liu, C. Ma and H. Schütze.
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer.
5th Workshop on Insights from Negative Results in NLP at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 16-21, 2024. URL.
[1006]
P. Resnik, B. Ma, A. Hoyle, P. Goel, R. Sarkar, M. Gearing, A.-C. Haensch and F. Kreuter.
TOPCAT: Topic-Oriented Protocol for Content Analysis of Text – A Preliminary Study.
6th Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 16-21, 2024. URL.
[1005]
Z. Ding, H. Cai, J. Wu, Y. Ma, R. Liao, B. Xiong and V. Tresp.
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 16-21, 2024. URL.
[1004]
R. Liao, X. Jia, Y. Ma and V. Tresp.
GenTKG: Generative Forecasting on Temporal Knowledge Graph.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 16-21, 2024. URL. GitHub.
[1003]
S. Mayhew, T. Blevins, S. Liu, M. Šuppa, H. Gonen, J. M. Imperial, B. F. Karlsson, P. Lin, N. Ljubešić, L. J. Miranda, B. Plank, A. Riabi and Y. Pinter.
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 16-21, 2024. URL.
[1002]
M. Wang, H. Adel, L. Lange, J. Strötgen and H. Schütze.
Rehearsal-Free Modular and Compositional Continual Learning for Language Models.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 16-21, 2024. URL.
[1001]
Y. Liu, P. Lin, M. Wang and H. Schütze.
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining.
Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun 16-21, 2024. URL.
[1000]
J. W. Grootjen, H. Weingärtner and S. Mayer.
Investigating the Effects of Eye-Tracking Interpolation Methods on Model Performance of LSTM.
9th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction (PETMEI 2024) at the ACM Symposium on Eye Tracking Research and Applications (ETRA 2024). Glasgow, Scotland, Jun 04-07, 2024. DOI.
[999]
J. Simson, A. Fabris and C. Kern.
Lazy Data Practices Harm Fairness Research.
7th ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2024). Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI.
[998]
J. Simson, F. Pfisterer and C. Kern.
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions.
7th ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2024). Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI.
[997]
J. Guo, D. Hong, Z. Liu and X. Zhu.
Continent-wide urban tree canopy fine-scale mapping and coverage assessment in South America with high-resolution satellite images.
ISPRS Journal of Photogrammetry and Remote Sensing 212 (Jun. 2024). DOI.
[996]
S. M. Fischer, J. Kiechle, D. M. Lang, J. C. Peeken and J. A. Schnabel.
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.
Machine Learning for Biomedical Imaging 2 (Jun. 2024). DOI. GitHub.
[995]
D. Bär, F. Pierri, G. De Francisci Morales and S. Feuerriegel.
Systematic discrepancies in the delivery of political ads on facebook and instagram.
PNAS Nexus (Jun. 2024). DOI.
[994]
J. Kiechle, S. M. Fischer, D. M. Lang, M. Folco, S. C. Foreman, V. K. N. Rösner, A.-K. Lohse, C. Mogler, C. Knebel, M. R. Makowski, K. Woertler, S. E. Combs, H. R. Duerr, A. S. Gersing, J. C. Peeken and J. A. Schnabel.
Unifying local and global shape descriptors to grade soft-tissue sarcomas using graph convolutional networks.
IEEE 20th International Symposium on Biomedical Imaging (ISBI 2024). Athens, Greece, May 27-30, 2024. To be published.
[993]
V. Blaschke, B. Kovačić, S. Peng, H. Schütze and B. Plank.
MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May 20-25, 2024. URL.
[992]
A. H. Kargaran, F. Yvon and H. Schütze.
GlotScript: A Resource and Tool for Low Resource Writing System Identification.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May 20-25, 2024. URL. GitHub.
[991]
A. Köksal, S. Severini and H. Schütze.
SilverAlign: MT-Based Silver Data Algorithm for Evaluating Word Alignment.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May 20-25, 2024. URL.
[990]
L. Weissweiler, N. Böbel, K. Guiller, S. Herrera, W. Scivetti, A. Lorenzi, N. Melnik, A. Bhatia, H. Schütze, L. Levin, A. Zeldes, J. Nivre, W. Croft and N. Schneider.
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May 20-25, 2024. URL.
[989]
S. Zhou, L. Weissweiler, T. He, H. Schütze, D. R. Mortensen and L. Levin.
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May 20-25, 2024. URL.
[988]
A. Beer, O. Palotás, A. Maldonado, A. Draganov and I. Assent.
DROPP: Structure-aware PCA for Ordered Data.
40th IEEE International Conference on Data Engineering (ICDE 2024). Utrecht, Netherlands, May 13-17, 2024. To be published.
[987]
J. W. Grootjen, H. Weingärtner and S. Mayer.
Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May 11-16, 2024. DOI.
[986]
L. Haliburton, I. Damen, C. Lallemand, J. Niess, A. Ahtinen and P. W. Woźniak.
Office Wellbeing by Design: Don’t Stand for Anything Less.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May 11-16, 2024. DOI.
[985]
L. Haliburton, D. J. Grüning, F. Riedel, A. Schmidt and N. Terzimehić.
A Longitudinal In-the-Wild Investigation of Design Frictions to Prevent Smartphone Overuse.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May 11-16, 2024. DOI.
[984]
C. Kobiella, Y. S. F. López, F. Draxler and A. Schmidt.
''If the Machine Is As Good As Me, Then What Use Am I?'' -- How the Use of ChatGPT Changes Young Professionals' Perception of Productivity and Accomplishment.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May 11-16, 2024. DOI.
[983]
S. Sakel, T. Blenk, A. Schmidt and L. Haliburton.
The Social Journal: Investigating Technology to Support and Reflect on Meaningful Social Interactions.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May 11-16, 2024. DOI.
[982]
K. Ahn, X. Cheng, M. Song, C. Yun, A. Jadbabaie and S. Sra.
Linear attention is (maybe) all you need (to understand Transformer optimization).
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[981]
S. d'Ascoli, S. Becker, P. Schwaller, A. Mathis and N. Kilbertus.
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL. GitHub.
[980]
L. Eyring, D. Klein, T. Uscidda, G. Palla, N. Kilbertus, Z. Akata and F. J. Theis.
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[979]
D. Frauen, F. Imrie, A. Curth, V. Melnychuk, S. Feuerriegel and M. van der Schaar.
A Neural Framework for Generalized Causal Sensitivity Analysis.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[978]
S. Gupta, S. Jegelka, D. Lopez-Paz and K. Ahuja.
Context is Environment.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL. GitHub.
[977]
S. Gupta, J. Robinson, D. Lim, S. Villar and S. Jegelka.
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL. GitHub.
[976]
K. Hess, V. Melnychuk, D. Frauen and S. Feuerriegel.
Bayesian neural controlled differential equations for treatment effect estimation.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[975]
Y. Huang, W. Lu, J. Robinson, Y. Yang, M. Zhang, S. Jegelka and P. Li.
On the Stability of Expressive Positional Encodings for Graphs.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL. GitHub.
[974]
B. Kiani, T. Le, H. Lawrence, S. Jegelka and M. Weber.
On the hardness of learning under symmetries.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[973]
C. Koke and D. Cremers.
HoloNets: Spectral Convolutions do extend to Directed Graphs.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[972]
T. Le, L. Ruiz and S. Jegelka.
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[971]
M. Lienen, D. Lüdke, J. Hansen-Palmus and S. Günnemann.
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[970]
V. Melnychuk, D. Frauen and S. Feuerriegel.
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[969]
M. Schröder, D. Frauen and S. Feuerriegel.
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[968]
S. Solonets, D. Sinitsyn, L. Von Stumberg, N. Araslanov and D. Cremers.
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[967]
A. Vahidi, S. Schoßer, L. Wimmer, Y. Li, B. Bischl, E. Hüllermeier and M. Rezaei.
Probabilistic Self-supervised Learning via Scoring Rules Minimization.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL. GitHub.
[966]
R. Winchenbach and N. Thuerey.
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL. GitHub.
[965]
P. Schnell and N. Thuerey.
Stabilizing Backpropagation Through Time to Learn Complex Physics.
12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. Preprint at arXiv. URL. GitHub.
[964]
L. Zellner, S. Rauch, J. Sontheim and T. Seidl.
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises.
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024). Taipeh, Taiwan, May 07-10, 2024. DOI. GitHub.
[963]
R. Kohli, M. Feurer, B. Bischl, K. Eggensperger and F. Hutter.
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning.
Workshop on Data-centric Machine Learning Research (DMLR 2024) at the 12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[962]
A. Palma, T. Richter, H. Zhang, A. Dittadi and F. J. Theis.
cellFlow: a generative flow-based model for single-cell count data.
Workshop on Machine Learning for Genomics Explorations (MLGenX 2024) at the 12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[961]
S. Chen, Z. Han, B. He, M. Buckley, P. Torr, V. Tresp and J. Gu.
Understanding and Improving In-Context Learning on Vision-language Models.
Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo 2024) at the 12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[960]
S. Chen, Z. Han, B. He, Z. Ding, W. Yu, P. Torr, V. Tresp and J. Gu.
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?.
Workshop on Secure and Trustworthy Large Language Models (SeT LLM 2024) at the 12th International Conference on Learning Representations (ICLR 2024). Vienna, Austria, May 07-11, 2024. URL.
[959]
J. Kiechle, S. C. Foreman, S. Fischer, D. Rusche, V. K. N. Rösner, A.-K. Lohse, C. Mogler, C. Knebel, S. E. Combs, M. R. Makowski, K. Woertler, D. M. Lang, J. A. Schnabel, A. S. Gersing and J. C. Peeken.
Investigating the role of morphology in deep learning-based liposarcoma grading.
Annual Meeting of the European Society for Radiotherapy and Oncology (ESTRO 2024). Glasgow, UK, May 03-07, 2024. URL.
[958]
V. Bengs, B. Haddenhorst and E. Hüllermeier.
Identifying Copeland Winners in Dueling Bandits with Indifferences.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May 02-04, 2024. URL.
[957]
D. Dold, D. Rügamer, B. Sick and O. Dürr.
Bayesian Semi-structured Subspace Inference.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May 02-04, 2024. URL.
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J. P. Engelmann, A. Palma, J. M. Tomczak, F. J. Theis and F. P. Casale.
Mixed Models with Multiple Instance Learning.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May 02-04, 2024. URL.
[955]
P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer and E. Hüllermeier.
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May 02-04, 2024. URL.
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N. Palm and T. Nagler.
An Online Bootstrap for Time Series.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May 02-04, 2024. URL.
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D. Rügamer.
Scalable Higher-Order Tensor Product Spline Models.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May 02-04, 2024. URL.
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K. Jeblick, B. Schachtner, J. Dexl, A. Mittermeier, A. T. Stüber, J. Topalis, T. Weber, P. Wesp, B. O. Sabel, J. Ricke and M. Ingrisch.
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports.
European Radiology 34 (May. 2024). DOI.
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Y. Li, I. Yakushev, D. M. Hedderich and C. Wachinger.
PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models.
Preprint at arXiv (May. 2024). arXiv. GitHub.
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Y. Liu, C. Ma, H. Ye and H. Schütze.
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data.
Preprint at arXiv (May. 2024). arXiv. GitHub.
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A. Scagliotti.
Minimax problems for ensembles of affine-control systems.
Preprint at arXiv (May. 2024). arXiv.
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A. F. Thielmann, A. Reuter, T. Kneib, D. Rügamer and B. Säfken.
Interpretable Additive Tabular Transformer Networks.
Transactions on Machine Learning Research (May. 2024). URL.
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N. Strauß and M. Schubert.
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem.
SIAM International Conference on Data Mining (SDM 2024). Houston, TX, USA, Apr 18-20, 2024. DOI.
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M. Herrmann, D. Kazempour, F. Scheipl and P. Kröger.
Enhancing cluster analysis via topological manifold learning.
Data Mining and Knowledge Discovery 38 (Apr. 2024). DOI.
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C. Koller, P. Jung and X. Zhu.
Can Land Cover Classification Models Benefit From Distance-Aware Architectures?.
IEEE Geoscience and Remote Sensing Magazine 21 (Apr. 2024). DOI. GitHub.
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X. Li, C. Wen, Y. Hu, Z. Yuan and X. Zhu.
Vision-Language Models in Remote Sensing: Current progress and future trends.
IEEE Geoscience and Remote Sensing Magazine 62 (Apr. 2024). DOI.
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K. Qian, Y. Wang, P. Jung, Y. Shi and X. Zhu.
HyperLISTA-ABT: An Ultralight Unfolded Network for Accurate Multicomponent Differential Tomographic SAR Inversion.
IEEE Transactions on Geoscience and Remote Sensing 62 (Apr. 2024). DOI.
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Y. Lee, H. Boche and G. Kutyniok.
Computability of Optimizers.
IEEE Transactions on Information Theory 70.4 (Apr. 2024). DOI.
[941]
J. Guo, D. Hong and X. Zhu.
High-resolution satellite images reveal the prevalent positive indirect impact of urbanization on urban tree canopy coverage in South America.
Landscape and Urban Planning 247 (Apr. 2024). DOI.
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A. Modarressi, A. Köksal, A. Imani, M. Fayyaz and H. Schütze.
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory.
Preprint at arXiv (Apr. 2024). arXiv.
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T. Weber, J. Dexl, D. Rügamer and M. Ingrisch.
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.
Preprint at arXiv (Apr. 2024). arXiv.
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A. C. Schaar, A. Tejada-Lapuerta, G. Palla, R. Gutgesell, L. Halle, M. Minaeva, L. Vornholz, L. Dony, F. Drummer, M. Bahrami and F. J. Theis.
Nicheformer: a foundation model for single-cell and spatial omics.
Preprint at bioRxiv (Apr. 2024). DOI.
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A. Maronikolakis, A. Köksal and H. Schütze.
Sociocultural knowledge is needed for selection of shots in hate speech detection tasks.
4th Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI 2024). St. Julian's, Malta, Mar 21, 2024. URL.
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A. Hayler, F. Wimbauer, D. Muhle, C. Rupprecht and D. Cremers.
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11th International Conference on 3D Vision (3DV 2024). Davos, Switzerland, Mar 18-21, 2024. DOI.
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E. Artemova, V. Blaschke and B. Plank.
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18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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J. Beck, S. Eckman, B. Ma, R. Chew and F. Kreuter.
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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V. T. Hu, D. Wu, Y. M. Asano, P. Mettes, B. Fernando, B. Ommer and C. G. M. Snoek.
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18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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P. Lin, C. Hu, Z. Zhang, A. F. T. Martins and H. Schütze.
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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B. Ma, E. Nie, S. Yuan, H. Schmid, M. Färber, F. Kreuter and H. Schütze.
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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L. K. Şenel, B. Ebing, K. Baghirova, H. Schütze and G. Glavaš.
Kardeş-NLU: Transfer to Low-Resource Languages with Big Brother’s Help – A Benchmark and Evaluation for Turkic Languages.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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M. Zhang, R. van der Goot, M.-Y. Kan and B. Plank.
NNOSE: Nearest Neighbor Occupational Skill Extraction.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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M. Zhang, R. van der Goot and B. Plank.
Entity Linking in the Job Market Domain.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar 17-22, 2024. URL.
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F. Coens, N. Knops, I. Tieken, S. Vogelaar, A. Bender, J. J. Kim, K. Krupka, L. Pape, A. Raes, B. Tönshoff, A. Prytula and C. Registry.
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Clinical Journal of the American Society of Nephrology 19.3 (Mar. 2024). DOI.
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W. H. Hartl, P. Kopper, L. Xu, L. Heller, M. Mironov, R. Wang, A. G. Day, G. Elke, H. Küchenhoff and A. Bender.
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Critical Care Medicine 50.3 (Mar. 2024). DOI.
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Q. Li, L. Mou, Y. Sun, Y. Hua, Y. Shi and X. Zhu.
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes.
IEEE Transactions on Geoscience and Remote Sensing 62 (Mar. 2024). DOI.
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IEEE Transactions on Geoscience and Remote Sensing 62 (Mar. 2024). DOI. GitHub.
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International Journal of Applied Earth Observation and Geoinformation 128 (Mar. 2024). DOI.
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R. Bailo, A. Barbaro, S. N. Gomes, K. Riedl, T. Roith, C. Totzeck and U. Vaes.
CBX: Python and Julia packages for consensus-based interacting particle methods.
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P. Kopper, D. Rügamer, R. Sonabend, B. Bischl and A. Bender.
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N. Stolt-Ansó, V. Sideri-Lampretsa, M. Dannecker and D. Rückert.
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FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb 20-27, 2024. DOI.
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P. Kolpaczki, V. Bengs, M. Muschalik and E. Hüllermeier.
Approximating the Shapley Value without Marginal Contributions.
38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb 20-27, 2024. DOI.
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T. Ladner and M. Althoff.
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification.
38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb 20-27, 2024. DOI.
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J. Lienen and E. Hüllermeier.
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38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb 20-27, 2024. DOI.
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38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb 20-27, 2024. DOI.
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T. N. Wolf, F. Bongratz, A.-M. Rickmann, S. Pölsterl and C. Wachinger.
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38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb 20-27, 2024. DOI.
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A. Reithmeir, J. A. Schnabel and V. A. Zimmer.
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SPIE Medical Imaging: Image Processing 2024. San Diego, CA, USA, Feb 18-22, 2024. DOI.
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H. Weerts, F. Pfisterer, M. Feurer, K. Eggensperger, E. Bergman, N. Awad, J. Vanschoren, M. Pechenizkiy, B. Bischl and F. Hutter.
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Journal of Artificial Intelligence Research 79 (Feb 17, 2024). DOI.
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Metaphors and `Tacit' Data: the Role of Metaphors in Data and Physical Data Representations.
18th International Conference on Tangible, Embedded, and Embodied Interaction. Cork, Ireland, Feb 11-14, 2024. DOI.
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Artificial Intelligence Review 57.65 (Feb. 2024). DOI.
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Business and Information Systems Engineering 66.1 (Feb. 2024). DOI.
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C. Cipriani, M. Fornasier and A. Scagliotti.
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European Journal of Applied Mathematics (Feb. 2024). DOI.
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IEEE Transactions on Geoscience and Remote Sensing 62 (Feb. 2024). DOI.
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A. Höhl, I. Obadic, M. Á. F. Torres, H. Najjar, D. Oliveira, Z. Akata, A. Dengel and X. Zhu.
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing.
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Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning.
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T. Richter, M. Bahrami, Y. Xia, D. S. Fischer and F. J. Theis.
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D. Schalk, B. Bischl and D. Rügamer.
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models.
Statistics and Computing 34.31 (Feb. 2024). DOI.
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D. Racek, B. I. Davidson, P. W. Thurner, X. Zhu and G. Kauermann.
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Communications Psychology 2.1 (Jan 10, 2024). DOI.
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C. Geldhauser and H. Diebel-Fischer.
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Northern Lights Deep Learning Conference (NLDL 2024). Tromsø, Norway, Jan 09-11, 2024. URL.
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M. Bernhard, R. Amoroso, Y. Kindermann, M. Schubert, L. Baraldi, R. Cucchiara and V. Tresp.
What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI. GitHub.
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A. R. Bhattarai, M. Nießner and A. Sevastopolsky.
TriPlaneNet: An Encoder for EG3D Inversion.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI.
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M. Brahimi, B. Haefner, T. Yenamandra, B. Goldluecke and D. Cremers.
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI.
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M. Z. Darestani, V. Nath, W. Li, Y. He, H. R. Roth, Z. Xu, D. Xu, R. Heckel and C. Zhao.
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI.
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S. Klenk, D. Bonello, L. Koestler, N. Araslanov and D. Cremers.
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI.
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U. Sahin, H. Li, Q. Khan, D. Cremers and V. Tresp.
Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining.
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T. Weber, M. Ingrisch, B. Bischl and D. Rügamer.
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI.
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T. Yenamandra, A. Tewari, N. Yang, F. Bernard, C. Theobalt and D. Cremers.
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI.
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G. Zhang, Y. Zhang, K. Zhang and V. Tresp.
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan 04-08, 2024. DOI.
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E. Hüllermeier and R. Slowinski.
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Preference learning and multiple criteria decision aiding: Differences, commonalities, and synergies -- Part II.
4OR (Jan. 2024). DOI.
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L. Bothmann and K. Peters.
Fairness als Qualitätskriterium im Maschinellen Lernen – Rekonstruktion des philosophischen Konzepts und Implikationen für die Nutzung außergesetzlicher Merkmale bei qualifizierten Mietspiegeln.
AStA Wirtschafts- und Sozialstatistisches Archiv (2024). To be published.
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J. Gertheiss, D. Rügamer, B. Liew and S. Greven.
Functional Data Analysis: An Introduction and Recent Developments.
Biometrical Journal (2024). To be published. Preprint at arXiv. arXiv. GitHub.
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Applied Machine Learning Using mlr3 in R.
CRC Press (Jan. 2024). DOI.
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T. Yang, J. Maly, S. Dirksen and G. Caire.
Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems.
IEEE Transactions on Communications 72.1 (Jan. 2024). DOI.
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F. Xu, Y. Shi, P. Ebel, W. Yang and X. Zhu.
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Transactions on Geoscience and Remote Sensing 62 (Jan. 2024). DOI. GitHub.
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F. Zhang, Y. Shi, Z. Xiong and X. Zhu.
Few-Shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects.
IEEE Transactions on Geoscience and Remote Sensing 62 (Jan. 2024). DOI. GitHub.
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L. Kreitner, J. C. Paetzold, N. Rauch, C. Chen, A. M. Hagag, A. E. Fayed, S. Sivaprasad, S. Rausch, J. Weichsel, B. H. Menze, M. Harders, B. Knier, D. Rückert and M. J. Menten.
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations.
IEEE Transactions on Medical Imaging (Jan. 2024). DOI.
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P. Wesp, B. M. Schachtner, K. Jeblick, J. Topalis, M. Weber, F. Fischer, R. Penning, J. Ricke, M. Ingrisch and B. O. Sabel.
Radiological age assessment based on clavicle ossification in CT: enhanced accuracy through deep learning.
International Journal of Legal Medicine (Jan. 2024). DOI.
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L. Kook, P. F. M. Baumann, O. Dürr, B. Sick and D. Rügamer.
Estimating Conditional Distributions with Neural Networks using R package deeptrafo.
Journal of Statistical Software (2024). To be published. Preprint at arXiv. arXiv.
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K. Hechinger, X. Zhu and G. Kauermann.
Categorising the world into local climate zones: towards quantifying labelling uncertainty for machine learning models.
Journal of the Royal Statistical Society. Series C (Applied Statistics) 73.1 (Jan. 2024). DOI.
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Medical Image Analysis 93 (Jan. 2024). DOI.
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V. Lehmann, T. Zueger, M. Maritsch, M. Notter, S. Schallmoser, C. Bérubé, C. Albrecht, M. Kraus, S. Feuerriegel, E. Fleisch, T. Kowatsch, S. Lagger, M. Laimer, F. Wortmann and C. Stettler.
Machine Learning to Infer a Health State Using Biomedical Signals - Detection of Hypoglycemia in People with Diabetes while Driving Real Cars.
NEJM AI (Jan. 2024). DOI.
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D. Zhu, Q. Khan and D. Cremers.
Multi-vehicle trajectory prediction and control at intersections using state and intention information.
Neurocomputing 574 (Jan. 2024). DOI. GitHub.
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H. Boch, A. Fono and G. Kutyniok.
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement.
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M. M. Mandl, A. S. Becker-Pennrich, L. C. Hinske, S. Hoffmann and A.-L. Boulesteix.
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Statistics in Medicine (Jan. 2024). DOI.
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M. Wünsch, C. Sauer, P. Callahan, L. C. Hinske and A.-L. Boulesteix.
From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis.
Wiley Interdisciplinary Reviews: Computational Statistics 16.1 (Jan. 2024). DOI.

2023

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H. A. Gündüz, S. Giri, M. Binder, B. Bischl and M. Rezaei.
Uncertainty Quantification of Deep Learning Models for Predicting the Regulatory Activity of DNA Sequences.
22nd IEEE International Conference on Machine Learning and Applications (ICMLA 2023). Jacksonville, Florida, USA, Dec 15-17, 2023. DOI.
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M. Zahn von, O. Hinz and S. Feuerriegel.
Locating disparities in machine learning.
IEEE International Conference on Big Data (IEEE BigData 2023). Sorrento, Italy, Dec 15-18, 2023. DOI.
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M. Singh, A. Fono and G. Kutyniok.
Expressivity of Spiking Neural Networks through the Spike Response Model.
1st Workshop on Unifying Representations in Neural Models (UniReps 2023) at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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S. Chen, J. Gu, Z. Han, Y. Ma, P. Torr and V. Tresp.
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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D. Frauen, V. Melnychuk and S. Feuerriegel.
Sharp Bounds for Generalized Causal Sensitivity Analysis.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier and B. Hammer.
SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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M. Ghahremani Boozandani and C. Wachinger.
RegBN: Batch Normalization of Multimodal Data with Regularization.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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L. Gosch, S. Geisler, D. Sturm, B. Charpentier, D. Zügner and S. Günnemann.
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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T. Klug, D. Atik and R. Heckel.
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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A. Krainovic, M. Soltanolkotabi and R. Heckel.
Learning Provably Robust Estimators for Inverse Problems via Jittering.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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S. Maskey, R. Paolino, A. Bacho and G. Kutyniok.
A Fractional Graph Laplacian Approach to Oversmoothing.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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V. Melnychuk, D. Frauen and S. Feuerriegel.
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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S. Scepanovic, I. Obadic, S. Joglekar, L. GIUSTARINI, C. Nattero, D. Quercia and X. Zhu.
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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Y. Scholten, J. Schuchardt, A. Bojchevski and S. Stephan.
Hierarchical randomized smoothing.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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J. Schuchardt, Y. Scholten and S. Günnemann.
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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J. Schweisthal, D. Frauen, V. Melnychuk and S. Feuerriegel.
Reliable Off-Policy Learning for Dosage Combinations.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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N. Sturma, C. Squires, M. Drton and C. Uhler.
Unpaired Multi-Domain Causal Representation Learning.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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G. Zhai, E. P. Örnek, S.-C. Wu, Y. Di, F. Tombari, N. Navab and B. Busam.
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs.
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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S. Zhang, P. Wicke, L. K. Senel, L. Figueredo, A. Naceri, S. Haddadin, B. Plank and H. Schütze.
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation.
6th Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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A. Palma, S. Rybakov, L. Hetzel and F. J. Theis.
Modelling single-cell RNA-seq trajectories on a flat statistical manifold.
AI for Science Workshop at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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T. Richter, A. Schaar, F. Drummer, C.-W. Liao, L. Endres and F. J. Theis.
SpatialSSL: Whole-Brain Spatial Transcriptomics in the Mouse Brain with Self-Supervised Learning.
AI for Science Workshop at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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X. Li, E. Nie and S. Liang.
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL.
Workshop Instruction Tuning and Instruction Following at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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C. Koke and D. Cremers.
HoloNets: Spectral Convolutions do extend to Directed Graphs.
Workshop New Frontiers in Graph Learning (GLFrontiers 2023) at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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C. Koke, A. Saroha, Y. Shen, M. Eisenberger and D. Cremers.
ResolvNet: A Graph Convolutional Network with multi-scale Consistency.
Workshop New Frontiers in Graph Learning (GLFrontiers 2023) at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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R. Liao, X. Jia, Y. Ma and V. Tresp.
GenTKG: Generative Forecasting on Temporal Knowledge Graph.
Workshop New Frontiers in Graph Learning (GLFrontiers 2023) at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec 10-16, 2023. URL.
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X. Li, E. Nie and S. Liang.
Crosslingual Retrieval Augmented In-context Learning for Bangla.
1st Workshop on Bangla Language Processing (BLP-2023). Singapore, Dec 07, 2023. DOI.
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Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.
BabyLM Challenge at 27th Conference on Computational Natural Language Learning (CoNLL 2023). Singapore, Dec 06-10, 2023. DOI.
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3rd Workshop on Bias and Fairness in AI (BIAS 2023) co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023). Turin, Italy, Sep 18-22, 2023. arXiv.
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023). Turin, Italy, Sep 18-22, 2023. DOI.
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023). Turin, Italy, Sep 18-22, 2023. DOI.
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023). Turin, Italy, Sep 18-22, 2023. DOI.
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OpenML-CTR23 - A curated tabular regression benchmarking suite.
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International Conference on Automated Machine Learning (AutoML 2023). Berlin, Germany, Sep 12-15, 2023. URL.
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A tailored Handwritten-Text-Recognition System for Medieval Latin.
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Rhode Island, Greece, Jun 04-10, 2023. DOI.
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Rhode Island, Greece, Jun 04-10, 2023. DOI.
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Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes.
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21st International Symposium on Intelligent Data Analysis (IDA 2023). Louvain-la-Neuve, Belgium, Apr 12-14, 2023. DOI.
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LongForm: Optimizing Instruction Tuning for Long Text Generation with Corpus Extraction.
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery e1491 (Apr. 2023). DOI.
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Grenzen Künstlicher Intelligenz. Munich, Germany, Mar 29-31, 2023.
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E-NeRF: Neural Radiance Fields from a Moving Event Camera.
IEEE Robotics and Automation Letters 8.3 (Mar. 2023). DOI.
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Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges.
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American Statistician (Feb. 2023). DOI.
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Applied Intelligence 53.16 (Feb. 2023). DOI.
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2022

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1st Workshop on Ever Evolving NLP (EvoNLP 2022). Abu Dhabi, United Arab Emirates, Dec 07, 2022. URL.
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Machine learning for estimating parameters of a convective-scale model: A comparison of neural networks and random forests.
32nd Workshop of Computational Intelligence of the VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik (GMA). Berlin, Germany, Dec 01-02, 2022. PDF.
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36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.
36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks.
36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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Invariance-Aware Randomized Smoothing Certificates.
36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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Deep Combinatorial Aggregation.
36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. PDF.
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Transformer Model for Genome Sequence Analysis.
Workshop on Learning Meaningful Representations of Life (LMRL 2022) at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL.
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What cleaves? Is proteasomal cleavage prediction reaching a ceiling?.
Workshop on Learning Meaningful Representations of Life (LMRL 2022) at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL.
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A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs.
Workshop on New Frontiers in Graph Learning at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL.
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Uncertainty as a key to fair data-driven decision making.
Workshop on Trustworthy and Socially Responsible Machine Learning (TSRML 2022) at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL.
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DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation.
33rd British Machine Vision Conference (BMVC 2022). London, UK, Nov 21-24, 2022. URL.
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SaferHome: Interactive Physical and Digital Smart Home Dashboards for Communicating Privacy Assessments to Owners and Bystanders.
ACM Interactive Surfaces and Spaces Conference (ISS 2022). Wellington, New Zealand, Nov 20-23, 2022. DOI.
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International Joint Conference on Rough Sets (IJCRS 2022). Suzhou, China, Nov 11-14, 2022. DOI.
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Comparative Analysis of Cross-lingual Contextualized Word Embeddings.
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Stop Measuring Calibration When Humans Disagree.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. URL.
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Evidence > Intuition: Transferability Estimation for Encoder Selection.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. URL.
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Improving Low-Resource Languages in Pre-Trained Multilingual Language Models.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI.
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Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. URL.
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Spectral Probing.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. URL.
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The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation.
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The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. URL.
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CrossRE: A Cross-Domain Dataset for Relation Extraction.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. URL.
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Experimental Standards for Deep Learning in Natural Language Processing Research.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI.
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4th Conference on Automated Knowledge Base Construction (AKBC 2022). London, UK, Nov 03-05, 2022. PDF.
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Group Anomaly Detection for Spatio-Temporal Collective Behaviour Scenarios in Smart Cities.
15th International Workshop on Computational Transportation Science (IWCTS 2022) at the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022). Seattle, WA, USA, Nov 01-04, 2022. DOI.
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Efficient On-Street Parking Sensor Placement.
15th International Workshop on Computational Transportation Science (IWCTS 2022) at the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022). Seattle, WA, USA, Nov 01-04, 2022. DOI.
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Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations.
30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022). Seattle, WA, USA, Nov 01-04, 2022. DOI. GitHub.
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Soft Augmentation for Image Classification.
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PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking?.
17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel, Oct 23-27, 2022. DOI.
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Intrinsic Neural Fields: Learning Functions on Manifolds.
17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel, Oct 23-27, 2022. DOI.
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Relationformer: A Unified Framework for Image-to-Graph Generation.
17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel, Oct 23-27, 2022. DOI. GitHub.
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Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration.
17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel, Oct 23-27, 2022. DOI.
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Is Geometry Enough for Matching in Visual Localization?.
17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel, Oct 23-27, 2022. DOI.
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M. Gladkova, N. Korobov, N. Demmel, A. Ošep, L. Leal-Taixé and D. Cremers.
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). Kyoto, Japan, Oct 23-27, 2022. DOI.
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Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models.
Workshop Vision for Art (VISART VI 2022) at the 17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel, Oct 23-27, 2022. arXiv.
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D. Das, Q. Khan and D. Cremers.
Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation.
IEEE International Conference on Image Processing (ICIP 2022). Bordeaux, France, Oct 16-19, 2022. DOI.
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C. Zelenka, A. Lohrer, M. Bayer and P. Kröger.
AI4EO Hyperview: A SpectralNet3D and RNNPlus Approach for Sustainable Soil Parameter Estimation on Hyperspectral Image Data.
IEEE International Conference on Image Processing (ICIP 2022). Bordeaux, France, Oct 16-19, 2022. DOI.
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F. Ott, D. Rügamer, L. Heublein, B. Bischl and C. Mutschler.
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift.
30th ACM International Conference on Multimedia (MM 2022). Lisbon, Portugal, Oct 10-14, 2022. DOI.
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Heterogeneous Treatment Effect Estimation for Observational Data using Model-based Forests.
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Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?.
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V. Fomenko, I. Elezi, D. Ramanan, L. Leal-Taixé and A. Ošep.
Learning to Discover and Detect Objects.
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The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes.
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I. Obadic, R. Roscher, D. A. Oliveira and X. Zhu.
Exploring Self-Attention for Crop-type Classification Explainability.
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ACM International Conference on Mobile Human-Computer Interaction (MobileHCI 2022). Vancouver, Canada, Sep 28-Oct 01, 2022. DOI.
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S. Gilhuber, M. Berrendorf, Y. Ma and T. Seidl.
Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations.
6th International Workshop on Interactive Adaptive Learning (IAL 2022) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022). Grenoble, France, Sep 19-22, 2022. PDF. GitHub.
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Efficient Automated Deep Learning for Time Series Forecasting.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022). Grenoble, France, Sep 19-22, 2022. DOI.
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022). Grenoble, France, Sep 19-22, 2022. DOI.
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D. Rügamer, A. Bender, S. Wiegrebe, D. Racek, B. Bischl, C. L. Müller and C. Stachl.
Factorized Structured Regression for Large-Scale Varying Coefficient Models.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022). Grenoble, France, Sep 19-22, 2022. DOI.
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Reinforcement Learning for Multi-Agent Stochastic Resource Collection.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022). Grenoble, France, Sep 19-22, 2022. DOI.
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Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022). Grenoble, France, Sep 19-22, 2022. DOI.
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ArtFID: Quantitative Evaluation of Neural Style Transfer.
German Conference on Pattern Recognition (DAGM-GCPR 2022). Konstanz, Germany, Sep 19, 2022-22, 2021. DOI. GitHub.
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Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs.
1st Workshop on Medical Applications with Disentanglements (MAD 2022) at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Singapore, Sep 18-22, 2022. DOI.
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Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation.
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Singapore, Sep 18-22, 2022. DOI.
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Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs.
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Singapore, Sep 18-22, 2022. DOI.
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CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis.
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Singapore, Sep 18-22, 2022. DOI.
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FedAP: Adaptive Personalization in Federated Learning for Non-IID Data.
3rd Workshop on Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health (DeCaF FAIR 2022) at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Singapore, Sep 18-22, 2022. DOI.
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MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation.
4th Workshop on Domain Adaptation and Representation Transfer (DART 2022) at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Singapore, Sep 18-22, 2022. DOI.
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Interpretable Vertebral Fracture Diagnosis.
Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2022) at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Singapore, Sep 18-22, 2022. DOI.
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Perceiver Hopfield Pooling for Dynamic Multi-modal and Multi-instance Fusion.
31st International Conference on Artificial Neural Networks (ICANN 2022). Bristol, UK, Sep 06-09, 2022. DOI.
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SCAR - Spectral Clustering Accelerated and Robustified.
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Mensch und Computer (MuC 2022). Darmstadt, Germany, Sep 04-07, 2022. DOI.
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Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision.
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Joint Debiased Representation and Image Clustering Learning with Self-Supervision.
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7th International Workshop on Multimodal pattern recognition of social signals in human computer interaction (MPRSS 2022) at the 26th International Conference on Pattern Recognition (ICPR 2022). Montreal, Canada, Aug 21-25, 2022. arXiv.
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The DipEncoder: Enforcing Multimodality in Autoencoders.
28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022). Washington, DC, USA, Aug 14-18, 2022. DOI.
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Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison.
38th Conference on Uncertainty in Artificial Intelligence (UAI 2022). Eindhoven, Netherlands, Aug 02-04, 2022. URL.
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38th Conference on Uncertainty in Artificial Intelligence (UAI 2022). Eindhoven, Netherlands, Aug 02-04, 2022. URL.
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V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs.
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Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression.
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ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling.
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European Heart Journal (2022). DOI.
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M. Kuppler, C. Kern, R. L. Bach and F. Kreuter.
From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making.
Frontiers in Sociology 7 (2022). DOI.
[344]
B. Felderer, A. Birg and F. Kreuter.
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Handbuch Methoden der empirischen Sozialforschung (2022). DOI.
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The Value of Science: Special Theme.
Harvard Data Science Review 4.2 (2022). URL.
[342]
J. Moosbauer, M. Binder, L. Schneider, F. Pfisterer, M. Becker, M. Lang, L. Kotthoff and B. Bischl.
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IEEE Transactions on Evolutionary Computation 26.6 (2022). DOI.
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IEEE Transactions on Pattern Analysis and Machine Intelligence (2022). DOI.
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T. Milbich, K. Roth, B. Brattoli and B. Ommer.
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IEEE Transactions on Pattern Analysis and Machine Intelligence 44.1 (2022). DOI.
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International Journal of Computer Vision 130.12 (2022). DOI.
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F. Günther, S. Einhauser, D. Peterhoff, S. Wiegrebe, H. H. Niller, S. Beileke, P. Steininger, R. Burkhardt, H. Küchenhoff, O. Gefeller, K. Überla, I. M. Heid and R. Wagner.
Higher Infection Risk among Health Care Workers and Lower Risk among Smokers Persistent across SARS-CoV-2 Waves–Longitudinal Results from the Population-Based TiKoCo Seroprevalence Study.
International Journal of Environmental Research and Public Health 19.24 (2022). DOI.
[337]
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Real-Time Analysis of Predictors of COVID-19 Infection Spread in Countries in the European Union Through a New Tool.
International Journal of Public Health 67 (2022). DOI.
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International Journal of Public Health 67 (2022). DOI.
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F. Ott, D. Rügamer, L. Heublein, T. Hamann, J. Barth, B. Bischl and C. Mutschler.
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.
International Journal on Document Analysis and Recognition 25.4 (2022). DOI.
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E. Schede, J. Brandt, A. Tornede, M. Wever, V. Bengs, E. Hüllermeier and K. Tierney.
A Survey of Methods for Automated Algorithm Configuration.
Journal of Artificial Intelligence Research 75 (2022). DOI.
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Journal of Computational and Graphical Statistics (2022). DOI.
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P. Gijsbers, M. L. P. Bueno, S. Coors, E. LeDell, S. Poirier, J. Thomas, B. Bischl and J. Vanschoren.
AMLB: an AutoML Benchmark.
Journal of Machine Learning Research (accepted) (2022). arXiv.
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Journal of Plasma Physics 88.5 (2022). DOI.
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M. Trappmann, G.-C. Haas, S. Malich, F. Keusch, S. Bähr, F. Kreuter and S. Schwarz.
Augmenting survey data with digital trace data: Is there a threat to panel retention?.
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The Carryover Effects of Preceding Interviewer–Respondent Interaction on Responses in Audio Computer-Assisted Self-Interviewing (ACASI).
Journal of Survey Statistics and Methodology 10.2 (2022). DOI.
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F. Keusch, S. Bähr, G.-C. Haas, F. Kreuter, M. Trappmann and S. Eckman.
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Journal of the Royal Statistical Society. Series A (Statistics in Society) (2022). DOI.
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C. Fritz and G. Kauermann.
On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1 (2022). DOI.
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How to measure uncertainty in uncertainty sampling for active learning.
Machine Learning 111.1 (2022). DOI.
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A flexible class of dependence-aware multi-label loss functions.
Machine Learning 111.2 (2022). DOI.
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Mapping single-cell data to reference atlases by transfer learning.
Nature Biotechnology 40 (2022). DOI.
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M. Lange, V. Bergen, M. Klein, M. Setty, B. Reuter, M. Bakhti, H. Lickert, M. Ansari, J. Schniering, H. B. Schiller, D. Pe’er and F. J. Theis.
CellRank for directed single-cell fate mapping.
Nature Methods 19.2 (2022). DOI.
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C. Fritz, M. Mehrl, P. W. Thurner and G. Kauermann.
All that Glitters is not Gold: Relational Events Models with Spurious Events.
Network Science (2022). DOI.
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Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects.
Network Science 9.4 (2022). DOI.
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C. Brunner, A. Duensing, C. Schröder, M. Mittermair, V. Golkov, M. Pollanka, D. Cremers and R. Kienberger.
Deep Learning in Attosecond Metrology.
Optics Express 30.9 (2022). Editor's Pick. DOI.
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German medical students´ views regarding artificial intelligence in medicine: A cross-sectional survey.
PLOS Digital Health (2022). DOI.
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Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making.
Patterns 3.10 (2022). DOI.
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H. Silber, F. Gerdon, R. Bach, C. Kern, F. Keusch and F. Kreuter.
A Pre-registered Vignette Experiment on Determinants of Health Data Sharing Behavior: Willingness to Donate Sensor Data, Medical Records, and Biomarkers.
Politics and the Life Sciences (2022). DOI.
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F. Henninger, P. J. Kieslich, A. Fernández-Fontelo, S. Greven and F. Kreuter.
Privacy attitudes toward mouse-tracking paradata collection.
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Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection.
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The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination.
Proceedings of the National Academy of Sciences 118.51 (2022). DOI.
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M. P. Kim, C. Kern, S. Goldwasser, F. Kreuter and O. Reingold.
Universal adaptability: Target-independent inference that competes with propensity scoring.
Proceedings of the National Academy of Sciences 119.4 (2022). DOI.
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Dataset and Codebook for: 'A Pre-registered Vignette Experiment on Determinants of Health Data Sharing Behavior: Willingness to Donate Sensor Data, Medical Records, and Biomarkers'.
PsychArchives (2022). DOI.
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SIAM Journal on Optimization 32.3 (2022). DOI.
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Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany.
Scientific Reports 12.3930 (2022). DOI.
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EM-Based Smooth Graphon Estimation Using MCMC and Spline-Based Approaches.
Social Networks 68 (2022). DOI.
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Bipartite Exponential Random Graph Models with Nodal Random Effects.
Social Networks 70 (2022). DOI.
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Missing Data and Other Measurement Quality Issues in Mobile Geolocation Sensor Data.
Social Science Computer Review 40.1 (2022). DOI.
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Statistical modelling of COVID-19 data: Putting generalized additive models to work.
Statistical Modelling (2022). DOI.
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Recurrent events analysis with piece-wise exponential additive mixed models.
Statistical Modelling (2022). DOI.
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Mixture Models and Networks: The Stochastic Block Model.
Statistical Modelling 22.1-2 (2022). DOI.
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APCtools: Descriptive and Model-based Age-Period-Cohort Analysis.
The Journal of Open Source Software 7.73 (2022). DOI.
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C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl and C. Heumann.
Marginal Effects for Non-Linear Prediction Functions.
Under review (Jan. 2022). arXiv.
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C. Nießl, M. Herrmann, C. Wiedemann, G. Casalicchio and A.-L. Boulesteix.
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12.2 (2022). DOI.
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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12.3 (2022). DOI.

2021

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L. Qian, C. Plant and C. Böhm.
Density-based Clustering for Adaptive Density Variation.
21st IEEE International Conference on Data Mining (ICDM 2021). Auckland, New Zealand, Dec 07-10, 2021. DOI.
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A. Beer, L. Stephan and T. Seidl.
LUCKe- Connecting Clustering and Correlation Clustering.
IEEE International Conference on Data Mining Workshops (ICDMW 2021). Auckland, New Zealand, Dec 07-10, 2021. DOI.
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A. Lohrer, J. Deller, M. Hünemörder and P. Kröger.
OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets.
IEEE International Conference on Data Mining Workshops (ICDMW 2021). Auckland, New Zealand, Dec 07-10, 2021. DOI.
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Panoptic 3D Scene Reconstruction From a Single RGB Image.
35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual, Dec 06-14, 2021. URL. GitHub.
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35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual, Dec 06-14, 2021. URL. GitHub.
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STEP: Segmenting and Tracking Every Pixel.
Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual, Dec 06-14, 2021. PDF.
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Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual, Dec 06-14, 2021. URL.
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Survival-oriented embeddings for improving accessibility to complex data structures.
Workshop on Bridging the Gap: from Machine Learning Research to Clinical Practice at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual, Dec 06-14, 2021. arXiv.
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Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation.
Workshop on Deep Generative Models and Downstream Applications at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual, Dec 06-14, 2021. PDF.
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M. Mittermeier, M. Weigert and D. Rügamer.
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach.
Workshop on Tackling Climate Change with Machine Learning at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Virtual, Dec 06-14, 2021. PDF.
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MIGS: Meta Image Generation from Scene Graphs.
32nd British Machine Vision Conference (BMVC 2021). Virtual, Nov 22-25, 2021. URL.
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TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo.
Conference on Robot Learning (CoRL 2021). London, UK, Nov 08-11, 2021. PDF. GitHub.
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Active Learning for Argument Strength Estimation.
2nd Workshop on Insights from Negative Results (Insights 2021) co-located at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI.
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BERT Cannot Align Characters.
2nd Workshop on Insights from Negative Results (Insights 2021) co-located at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI.
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A. Imani, M. J. Sabet, L. K. Senel, P. Philipp, F. Yvon and H. Schütze.
Graph Algorithms for Multiparallel Word Alignment.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI.
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N. Kassner, O. Tafjord, H. Schütze and P. Clark.
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI.
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Wine is not v i n. On the Compatibility of Tokenizations across Languages.
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI.
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Improving Inductive Link Prediction Using Hyper-Relational Facts.
20th International Semantic Web Conference (ISWC 2021). Virtual, Oct 24-28, 2021. DOI. GitHub.
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The Center of Attention: Center-Keypoint Grouping Attention for Multi-Person Pose Estimation.
IEEE/CVF International Conference on Computer Vision (ICCV 2021). Virtual, Oct 11-17, 2021. DOI.
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Unconditional Scene Graph Generation.
IEEE/CVF International Conference on Computer Vision (ICCV 2021). Virtual, Oct 11-17, 2021. DOI.
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Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models.
24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). Strasbourg, France, Sep 27-Oct 01, 2021. DOI.
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Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features.
24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). Strasbourg, France, Sep 27-Oct 01, 2021. DOI.
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Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs.
24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). Strasbourg, France, Sep 27-Oct 01, 2021. DOI.
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Compound Segmentation via Clustering on Mol2Vec-based Embeddings.
17th IEEE eScience Conference (eScience 2021). Virtual, Sep 20-23, 2021. DOI.
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Cluster Flow — an Advanced Concept for Ensemble-Enabling, Interactive Clustering.
19th Symposium of Database Systems for Business, Technology and Web (BTW 2021). Dresden, Germany, Sep 13-17, 2021. DOI.
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Automatic Componentwise Boosting: An Interpretable AutoML System.
Automating Data Science Workshop (ADS 2021) at the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD 2021). Virtual, Sep 13-17, 2021. arXiv.
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AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval.
Conference on Lernen. Wissen. Daten. Analysen (LWDA 2021). München, Germany, Sep 01-03, 2021. PDF.
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Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images.
Preprint at arXiv (Sep. 2021). arXiv.
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YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization.
Preprint at arXiv .Under review (Sep. 2021). arXiv.
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Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces.
30th International Joint Conference on Artificial Intelligence ((IJCAI 2021)). Montreal, Canada, Aug 19-26, 2021. DOI.
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Dip-based Deep Embedded Clustering with k-Estimation.
27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021). Singapore, Aug 14-18, 2021. DOI.
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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus.
Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). Bangkok, Thailand, Aug 01-06, 2021. DOI.
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Y. Xing, Z. Shi, Z. Meng, G. Lakemeyer, Y. Ma and R. Wattenhofer.
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation.
Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). Bangkok, Thailand, Aug 01-06, 2021. DOI.
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Y. Wang, Y. Shen and D. Cremers.
Explicit pairwise factorized graph neural network for semi-supervised node classification.
Conference on Uncertainty in Artificial Intelligence (UAI 2021). Virtual, Jul 27-29, 2021. PDF.
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M. Biloš and S. Günnemann.
Scalable Normalizing Flows for Permutation Invariant Densities.
38th International Conference on Machine Learning (ICML 2021). Virtual, Jul 18-24, 2021. URL.
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T. Frerix, D. Kochkov, J. Smith, D. Cremers, M. Brenner and S. Hoyer.
Variational Data Assimilation with a Learned Inverse Observation Operator.
38th International Conference on Machine Learning (ICML 2021). Virtual, Jul 18-24, 2021. URL.
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P. Gijsbers, F. Pfisterer, J. van Rijn, B. Bischl and J. Vanschoren.
Meta-Learning for Symbolic Hyperparameter Defaults.
Genetic and Evolutionary Computation Conference (GECCO 2021). Lile, France, Jul 10-14, 2021. DOI.
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F. Pfisterer, J. van Rijn, P. Probst, A. Müller and B. Bischl.
Learning Multiple Defaults for Machine Learning Algorithms.
Genetic and Evolutionary Computation Conference (GECCO 2021). Lile, France, Jul 10-14, 2021. arXiv.
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C. Böhm, M. Perdacher and C. Plant.
A Novel Hilbert Curve for Cache-Locality Preserving Loops.
IEEE Transactions on Big Data 7.2 (Jul. 2021). DOI.
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A causal perspective on meaningful and robust algorithmic recourse.
Preprint at arXiv (Jul. 2021). arXiv.
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4D Panoptic LiDAR Segmentation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI. GitHub.
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Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI.
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Scan2Cap: Context-aware Dense Captioning in RGB-D Scans.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI.
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SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI.
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M. Eisenberger, D. Novotny, G. Kerchenbaum, P. Labatut, N. Neverova, D. Cremers and A. Vedaldi.
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI. GitHub.
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Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI.
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Isometric Multi-Shape Matching.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI. GitHub.
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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI.
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Neural Response Interpretation through the Lens of Critical Pathways.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021). Virtual, Jun 19-25, 2021. DOI.
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23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020). Virtual, Aug 26-28, 2020. URL.
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16th European Conference on Computer Vision (ECCV 2020). Virtual, Aug 23-28, 2020. DOI.
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16th European Conference on Computer Vision (ECCV 2020). Virtual, Aug 23-28, 2020. DOI.
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Generalizing RNA velocity to transient cell states through dynamical modeling.
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mlr3proba: Machine Learning Survival Analysis in R.
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Collecting empirical data about hyperparameters for data driven AutoML.
7th Workshop on Automated Machine Learning (AutoML 2020) co-located with ICML 2020. Virtual, Jul 18, 2020. PDF.
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Genetic and Evolutionary Computation Conference (GECCO 2020). Cancun, Mexico, Jul 08-12, 2020. DOI.
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DeepECT: The Deep Embedded Cluster Tree.
Data Science and Engineering 5 (Jul. 2020). DOI.
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Proceedings of the National Academy of Sciences 117.30 (Jul. 2020). DOI.
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21st IEEE International Conference on Mobile Data Management (MDM 2020). Versailles, France, Jun 30-Jul 03, 2020. DOI.
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Virtual, Jun 14-19, 2020. DOI.
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Virtual, Jun 14-19, 2020. DOI.
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M. Eisenberger, Z. Lähner and D. Cremers.
Smooth Shells: Multi-Scale Shape Registration with Functional Maps.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Virtual, Jun 14-19, 2020. DOI.
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MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Virtual, Jun 14-19, 2020. DOI.
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Virtual, Jun 14-19, 2020. DOI.
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D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Virtual, Jun 14-19, 2020. DOI.
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2020. DOI.
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D. Mautz, W. Ye, C. Plant and C. Böhm.
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ACM Transactions on Knowledge Discovery from Data 14.5 (Jun. 2020). DOI.
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A Chain Graph Interpretation of Real-World Neural Networks.
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Embedding Space Correlation as a Measure of Domain Similarity.
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Dirichlet-Smoothed Word Embeddings for Low-Resource Settings.
12th International Conference on Language Resources and Evaluation (LREC 2020). Marseille, France, May 13-15, 2020. URL.
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Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform.
24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). Singapore, May 11-14, 2020. DOI.
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Biometrical Journal 62.3 (May. 2020). DOI.
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Directional Message Passing for Molecular Graphs.
8th International Conference on Learning Representations (ICLR 2020). Virtual, Apr 26-May 01, 2020. URL.
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Intensity-Free Learning of Temporal Point Processes (selected for spotlight presentation).
8th International Conference on Learning Representations (ICLR 2020). Virtual, Apr 26-May 01, 2020. arXiv. URL.
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Active Learning for Entity Alignment.
5th International Workshop on Deep Learning for Graphs (DL4G@WWW2020) at the ACM Web Conference 2020 (WWW 2020). Taipeh, Taiwan, Apr 21, 2020. arXiv.
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M. Berrendorf, E. Faerman, L. Vermue and V. Tresp.
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36th IEEE International Conference on Data Engineering (ICDE 2020). Dallas, TX, USA, Apr 20-24, 2020. DOI.
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42nd European Conference on Information Retrieval (ECIR 2020). Virtual, Apr 14-17, 2020. DOI. GitHub.
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IEEE Robotics and Automation Letters 5.2 (Apr. 2020). DOI.
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Computational Statistics and Data Analysis 143 (Mar. 2020). DOI.
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34th Conference on Artificial Intelligence (AAAI 2020). New York City, New York, USA, Feb 07-12, 2020. DOI.
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34th Conference on Artificial Intelligence (AAAI 2020). New York City, New York, USA, Feb 07-12, 2020. DOI.
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Technical Report (Feb. 2020). arXiv.
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mlr3fselect: Feature Selection for 'mlr3'.
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mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'.
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fda-ndr: Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction. R package.
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manifun: Collection of functions to work with embeddings and functional data. R package.
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M. Lang.
mlr3db: Data Base Backend for 'mlr3'.
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mlr3oml: Connector Between 'mlr3' and 'OpenML'.
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M. Lang, Q. Au, S. Coors and P. Schratz.
mlr3learners: Recommended Learners for 'mlr3'.
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M. Lang, P. Schratz and R. Sonabend.
mlr3viz: Visualizations for 'mlr3'.
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mlr3cluster: Cluster Extension for 'mlr3'.
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tidyfun: Tools for Tidy Functional Data. R package.
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mlr3filters: Filter Based Feature Selection for 'mlr3'.
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mlr3proba: Probabilistic Supervised Learning for 'mlr3'. R package version 0.2.6.
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IEEE International Conference on Big Data (IEEE BigData 2019). Los Angeles, CA, USA, Dec 09-12, 2019. DOI.
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Uncertainty on Asynchronous Time Event Prediction (Poster).
33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, Dec 08-14, 2019. PDF.
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33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, Dec 08-14, 2019. PDF.
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33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, Dec 08-14, 2019. PDF.
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Measurement Dependence Inducing Latent Causal Models (WS paper).
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Workshop on Graph Representation Learning at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, Dec 08-14, 2019. PDF.
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mlr3: A modern object-oriented machine learning framework in R.
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Deep Embedded Cluster Tree.
19th IEEE International Conference on Data Mining (ICDM 2019). Beijing, China, Nov 08-11, 2019. DOI.
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IEEE International Conference on Data Mining Workshops (ICDMW 2019). Beijing, China, Nov 08-11, 2019. DOI.
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IEEE International Conference on Data Mining Workshops (ICDMW 2019). Beijing, China, Nov 08-11, 2019. DOI.
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IEEE International Conference on Data Mining Workshops (ICDMW 2019). Beijing, China, Nov 08-11, 2019. DOI.
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Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning.
27th International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2019). Chicago, ILL, USA, Nov 05-08, 2019. DOI.
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Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects.
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Towards Human Centered AutoML.
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IEEE/CVF International Conference on Computer Vision (ICCV 2019). Seoul, Korea, Oct 27-Nov 02, 2019. DOI.
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Controlling Neural Networks via Energy Dissipation.
IEEE/CVF International Conference on Computer Vision (ICCV 2019). Seoul, Korea, Oct 27-Nov 02, 2019. DOI.
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Workshop on Graphical Models: Conditional Independence and Algebraic Structures. TUM, Munich, Germany, Oct 23-25, 2019. URL.
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A Causal Perspective on Challenges for AI in Precision Medicine.
2nd International Congress on Precision Medicine (PMBC 2019). Munich, Germany, Oct 14-15, 2019.
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IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019). Thessaloniki, Greece, Oct 14-17, 2019. DOI.
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12th International Conference on Similarity Search and Applications (SISAP 2019). Newark, New York, USA, Oct 02-04, 2019. DOI.
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12th International Conference on Similarity Search and Applications (SISAP 2019). Newark, New York, USA, Oct 02-04, 2019. DOI.
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12th International Conference on Similarity Search and Applications (SISAP 2019). Newark, New York, USA, Oct 02-04, 2019. DOI.
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On coMADs and Principal Component Analysis.
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On coMADs and Principal Component Analysis.
12th International Conference on Similarity Search and Applications (SISAP 2019). Newark, New York, USA, Oct 02-04, 2019. DOI.
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Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods.
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A Generator for Subspace Clusters.
Conference on Lernen. Wissen. Daten. Analysen (LWDA 2019). Berlin, Germany, Sep 30-Oct 02, 2019. PDF.
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CODEC - Detecting Linear Correlations in Dense Clusters with Comedian-based PCA.
Conference on Lernen. Wissen. Daten. Analysen (LWDA 2019). Berlin, Germany, Sep 30-Oct 02, 2019. PDF.
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Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents.
Conference on Lernen. Wissen. Daten. Analysen (LWDA 2019). Berlin, Germany, Sep 30-Oct 02, 2019. PDF.
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Conference on Lernen. Wissen. Daten. Analysen (LWDA 2019). Berlin, Germany, Sep 30-Oct 02, 2019. PDF.
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2019). Wuerzburg, Germany, Sep 16-20, 2019. DOI.
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Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2019). Wuerzburg, Germany, Sep 16-20, 2019. DOI.
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C. Molnar, G. Casalicchio and B. Bischl.
Quantifying Model Complexity via Functional Decomposition for Better Post-hoc Interpretability.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2019). Wuerzburg, Germany, Sep 16-20, 2019. DOI.
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C. A. Scholbeck, C. Molnar, C. Heumann, B. Bischl and G. Casalicchio.
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2019). Wuerzburg, Germany, Sep 16-20, 2019. DOI.
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ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2019). Wuerzburg, Germany, Sep 16-20, 2019. DOI.
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Multi-Objective Automatic Machine Learning with AutoxgboostMC.
Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (Workshops ECML-PKDD 2019). Wuerzburg, Germany, Sep 16-20, 2019. arXiv.
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Intelligent Systems Conference 2019 (IntelliSys 2019). London, UK, Sep 05-06, 2019. DOI.
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J. Held, A. Beer and T. Seidl.
Chain-detection Between Clusters.
Datenbank-Spektrum 19 (Sep. 2019). DOI.
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Scaling the Dynamic Resource Routing Problem.
16th International Symposium on Spatial and Temporal Databases (SSTD 2019). Vienna, Austria, Aug 19-21, 2019. DOI.
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An Open Source AutoML Benchmark.
6th Workshop on Automated Machine Learning (AutoML 2019) co-located with KDD 2019. Anchorage, AK, USA, Aug 05, 2019. PDF.
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Human Learning in Data Science (Poster Extended Abstract).
21st International Conference of Human-Computer Interaction (HCII 2019). Orlando, Florida, USA, Jul 26-31, 2019. DOI.
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D. Kazempour, A. Beer and T. Seidl.
Data on RAILs: On interactive generation of artificial linear correlated data (Poster Extended Abstract).
21st International Conference of Human-Computer Interaction (HCII 2019). Orlando, Florida, USA, Jul 26-31, 2019. DOI.
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LUCK - Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function (short paper).
31st International Conference on Scientific and Statistical Database Management (SSDBM 2019). Santa Cruz, CA, USA, Jul 23-25, 2019. DOI.
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A. Beer and T. Seidl.
Graph Ordering and Clustering - A Circular Approach.
31st International Conference on Scientific and Statistical Database Management (SSDBM 2019). Santa Cruz, CA, USA, Jul 23-25, 2019. DOI.
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Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform.
31st International Conference on Scientific and Statistical Database Management (SSDBM 2019). Santa Cruz, CA, USA, Jul 23-25, 2019. DOI.
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