2024
[1145]
D. Rügamer, B. Liew, Z. Altai and A. Stöcker.
A Functional Extension of Semi-Structured Networks.
38th Conference on Neural Information Processing Systems (NeurIPS 2024). Vancouver, Canada, Dec 09-14, 2024. To be published. Preprint at arXiv.
[1144]
A. Yüksel, A. Köksal, L. K. Senel, A. Korhonen and H. Schütze.
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, FL, USA, Nov 12-16, 2024.
arXiv.
[1143]
A. Köksal, T. Schick, A. Korhonen and H. Schütze.
LongForm: Optimizing Instruction Tuning for Long Text Generation with Corpus Extraction.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, FL, USA, Nov 12-16, 2024. To be published. Preprint at arXiv.
arXiv.
[1142]
B. Ma, X. Wang, T. Hu, A.-C. Haensch, M. A. Hedderich, B. Plank and F. Kreuter.
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, FL, USA, Nov 12-16, 2024. To be published. Preprint at arXiv.
arXiv.
[1141]
A. Modarressi, A. Köksal and H. Schütze.
Consistent Document-Level Relation Extraction via Counterfactuals.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, FL, USA, Nov 12-16, 2024. To be published. Preprint at arXiv.
arXiv.
[1140]
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.
[1139]
B. H. Lange.
The Future Audit Society? Automated Assurance and Auditing.
2nd International Conference on Bridging the Gap Between AI and Reality (AISoLA 2024). Crete, Greece, Oct 30-Nov 03, 2024. To be published.
[1138]
Z. Xian, L. Zellner, G. M. Tavares and T. Seidl.
CC-HIT: Creating Counterfactuals from High-Impact Transitions.
4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM 2024) at the 6th International Conference on Process Mining (ICPM 2024). Lyngby, Denmark, Oct 14-18, 2024. To be published.
[1137]
S. Rauch, C. M. M. Frey, L. Zellner and T. Seidl.
Process-Aware Bayesian Networks for Sequential Event Log Queries.
6th International Conference on Process Mining (ICPM 2024). Lyngby, Denmark, Oct 14-18, 2024. To be published.
[1136]
A. Maldonado, S. A. Aryasomayajula, C. M. M. Frey and T. Seidl.
iGEDI: interactive Generating Event Data with Intentional Features.
Demo Tracks at the 6th International Conference on Process Mining (ICPM 2024). Lyngby, Denmark, Oct 14-18, 2024. To be published.
[1135]
A. Maldonado.
Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks.
Doctoral Consortium at the 6th International Conference on Process Mining (ICPM 2024). Lyngby, Denmark, Oct 14-18, 2024. To be published.
[1134]
P. Mondorf and B. Plank.
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models--A Survey.
Conference on Language Modeling (COLM 2024). Philadelphia, PA, USA, Oct 07-09, 2024. To be published. Preprint at arXiv.
arXiv.
[1133]
X. Wang, C. Hu, B. Ma, P. Rottger and B. Plank.
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think.
Conference on Language Modeling (COLM 2024). Philadelphia, PA, USA, Oct 07-09, 2024. To be published. Preprint at arXiv.
arXiv.
[1132]
F. Bongratz, J. Fecht, A.-M. Rickmann and C. Wachinger.
V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence.
27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). Marrakesh, Morocco, Oct 06-10, 2024. To be published. Preprint at arXiv.
arXiv.
[1131]
P. Scholl, M. Iskandar, S. Wolf, J. Lee, A. Bacho, A. Dietrich, A. Albu-Schäffer and G. Kutyniok.
Learning-based adaption of robotic friction models.
Robotics and Computer-Integrated Manufacturing 89 (Oct. 2024).
DOI.
[1130]
Y. Weiss, S. Villa, J. W. Grootjen, M. Hoppe, Y. Kale and F. Müller.
Exploring Redirection and Shifting Techniques to Mask Hand Movements from Shoulder-Surfing Attacks during PIN Authentication in Virtual Reality.
ACM International Conference on Mobile Human-Computer Interaction (MobileHCI 2024). Melbourne, Australia, Sep 30-Oct 03, 2024. To be published.
[1129]
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). Melbourne, Australia, Sep 30-Oct 03, 2024. To be published.
[1128]
J. W. Grootjen, P. Thallhammer and T. Kosch.
Your Eyes on Speed: Using Pupil Dilation to Adaptively Select Speed-Reading Parameters in Virtual Reality.
ACM International Conference on Mobile Human-Computer Interaction (MobileHCI 2024). Melbourne, Australia, Sep 30-Oct 03, 2024. To be published. Preprint available.
PDF.
GitHub.
[1127]
J. S. Fischer, M. Gui, P. Ma, N. Stracke, S. A. Baumann and B. Ommer.
Boosting Latent Diffusion with Flow Matching.
18th European Conference on Computer Vision (ECCV 2024). Milano, Italy, Sep 29-Oct 04, 2024. To be published. Preprint at arXiv.
arXiv.
[1126]
T. Hannan, M. M. Islam, T. Seidl and G. Bertasius.
RGNet: A Unified Retrieval and Grounding Network for Long Videos.
18th European Conference on Computer Vision (ECCV 2024). Milano, Italy, Sep 29-Oct 04, 2024. To be published. Preprint at arXiv.
arXiv.
[1125]
G. Zhai, E. P. Örnek, D. Z. Chen, R. Liao, Y. Di, N. Navab, F. Tombari and B. Busam.
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion.
18th European Conference on Computer Vision (ECCV 2024). Milano, Italy, Sep 29-Oct 04, 2024. To be published. Preprint at arXiv.
arXiv.
[1124]
H. Baniecki, G. Casalicchio, B. Bischl and P. Biecek.
On the Robustness of Global Feature Effect Explanations.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024.
DOI.
[1123]
C. Damke and E. Hüllermeier.
CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024.
DOI.
[1122]
R. Fischer, M. Wever, S. Buschjäger and T. Liebig.
MetaQuRe: Meta-learning from Model Quality and Resource Consumption.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024.
DOI.
[1121]
S. Gilhuber, A. Beer, Y. Ma and T. Seidl.
FALCUN: A Simple and Efficient Deep Active Learning Strategy.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024.
DOI.
[1120]
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.
DOI.
[1119]
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.
DOI.
GitHub.
[1118]
F. Stermann, I. Chalkidis, A. Vahidi, B. Bischl and M. Rezaei.
Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024). Vilnius, Lithuania, Sep 09-13, 2024.
DOI.
[1117]
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.
DOI.
[1116]
A. Maldonado, C. M. M. Frey, G. M. Tavares, N. Rehwald and T. Seidl.
GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining.
22nd International Conference on Business Process Management (BPM 2024). Krakow, Poland, Sep 01-06, 2024. To be published. Preprint available.
PDF.
[1115]
L. von der Heyde, A.-C. Haensch and A. Wenz.
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections.
Preprint at arXiv (Sep. 2024).
arXiv.
[1114]
A. Maarouf, S. Feuerriegel and N. Pröllochs.
A fused large language model for predicting startup success.
Preprint at arXiv (Sep. 2024).
arXiv.
[1113]
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.
URL.
[1112]
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. Invited talk.
arXiv.
[1111]
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.
[1110]
V. Blaschke, C. Purschke, H. Schütze and B. Plank.
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1109]
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.
URL.
GitHub.
[1108]
T. Liu, I. Škrjanec and V. Demberg.
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the 'right reasons'?.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1107]
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.
URL.
[1106]
P. Mondorf and B. Plank.
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1105]
P. Röttger, V. Hofmann, V. Pyatkin, M. Hinck, H. R. Kirk, H. Schütze and D. Hovy.
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
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[1104]
L. K. Senel, B. Fetahu, D. Yoshida, Z. Chen, G. Castellucci, N. Vedula, J. I. Choi and S. Malmasi.
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.
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[1103]
C. Tomani, D. Vilar, M. Freitag, C. Cherry, S. Naskar, M. Finkelstein, X. Garcia and D. Cremers.
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1102]
L. Weber-Genzel, S. Peng, M.-C. de Marneffe and B. Plank.
VariErr NLI: Separating Annotation Error from Human Label Variation.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1101]
S. Xu, S. T.y.s.s, O. Ichim, I. Risini, B. Plank and M. Grabmair.
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification.
62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1100]
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.
URL.
[1099]
L. Christ, S. Amiriparian, M. Milling, I. Aslan and B. W. Schuller.
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1098]
W. Lai, M. Mesgar and A. Fraser.
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
URL.
[1097]
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.
URL.
[1096]
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.
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[1095]
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.
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[1094]
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.
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[1093]
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.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, Aug 11-16, 2024.
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[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.
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[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.
URL.
[1090]
P. Wicke, L. Hirlimann and J. M. Cunha.
Using Analogical Reasoning to Prompt LLMs for their Intuitions of Abstract Spatial Schemas.
1st Workshop on Analogical Abstraction in Cognition, Perception, and Language (Analogy-ANGLE 2024) at the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024). Jeju, Korea, Aug 03-09, 2024.
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[1089]
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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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[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.
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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.
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[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.
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[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.
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[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.
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[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.
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[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.
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