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Selected Industry Publications

MCML researchers maintain strong partnerships with leading industry collaborators, supporting the transfer of research into practice. The breadth of these collaborations has resulted in a wide range of publications. The selection below presents joint research, illustrating MCML’s close connections with industry.

Google

Technology Group
Partnersites Germany, Europe & USA
37 Publications

[37]

G. Kaissis • D. Mildenberger • J. Gomez • M. J. Menten • E. Triantafillou
Step-resolved data attribution for looped transformers.
Preprint (Feb. 2026). arXiv

[36]

Y. Huang • K. Roth • Q. Bouniot • W. Xu • Z. Akata
Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers.
Preprint (Jan. 2026). arXiv

[35]

D. Scheuble • A. Ramazzina • H. Holzhüter • S. Gasperini • S. Peters • F. Tombari • M. Bijelic • F. Heide
Transient LASSO: Transient Large-Scale Scene Reconstruction.
SIGGRAPH ASIA 2025 - 18th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia. Hong Kong, China, Dec 15-18, 2025. DOI

[34]

K. Reichard • G. Rizzoli • S. Gasperini • L. Hoyer • P. Zanuttigh • N. Navab • F. Tombari
From Open-Vocabulary to Vocabulary-Free Semantic Segmentation.
Pattern Recognition Letters 198. Dec. 2025. DOI GitHub

[33]

D. Scheuble • A. Ramazzina • H. Holzhüter • S. Gasperini • S. Peters • F. Tombari • M. Bijelic • F. Heide
Supplementary Material Transient LASSO: Transient Large-Scale Scene Reconstruction.
Preprint (Dec. 2025). PDF

[32]

L. Eyring • S. Karthik • A. Dosovitskiy • N. Ruiz • Z. Akata
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL GitHub

[31]

Y. Liu • R. Chen • L. Hirlimann • A. D. Hakimi • M. Wang • A. H. Kargaran • S. Rothe • F. Yvon • H. Schütze
On Relation-Specific Neurons in Large Language Models.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI GitHub

[30]

B. Lange • G. Keeling • A. Manzini • A. McCroskery
We Need Accountability in Human-AI Agent Relationships.
npj Artificial Intelligence 1.38. Nov. 2025. DOI

[29]

K. Li • M. Niemeyer • Z. Chen • N. Navab • F. Tombari
MonoGSDF: Exploring Monocular Geometric Cues for Gaussian Splatting-Guided Implicit Surface Reconstruction.
Preprint (Nov. 2025). arXiv

[28]

S. Schmidt • J. Koerner • D. Fuchsgruber • S. Gasperini • F. Tombari • S. Günnemann
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[27]

S. Kim • R. Xiao • S. Alaniz • Y. Xian • Z. Akata
Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs.
Preprint (Oct. 2025). arXiv

[26]

K. Li • M. Niemeyer • S. Wang • S. Gasperini • N. Navab • F. Tombari
SING3R-SLAM: Submap-based Indoor Monocular Gaussian SLAM with 3D Reconstruction Priors.
Preprint (Oct. 2025). arXiv

[25]

F. Villaescusa-Navarro • B. Bolliet • P. Villanueva-Domingo • A. E. Bayer • A. Acquah • C. Amancharla • A. Barzilay-Siegal • P. Bermejo • C. Bilodeau • P. C. Ramírez • M. Cranmer • U. L. França • C. Hahn • Y.-F. Jiang • R. Jimenez • J.-Y. Lee • A. Lerario • O. Mamun • T. Meier • A. A. Ojha • P. Protopapas • S. Roy • D. N. Spergel • P. Tarancón-Álvarez • U. Tiwari • M. Viel • D. Wadekar • C. Wang • B. Y. Wang • L. Xu • Y. Yovel • S. Yue • W.-H. Zhou • Q. Zhu • J. Zou • Í. Zubeldia
The Denario project: Deep knowledge AI agents for scientific discovery.
Preprint (Sep. 2025). arXiv GitHub

[24]

E. Alegret • K. Li • S. Wang • S. Liang • M. Niemeyer • S. Gasperini • N. Navab • F. Tombari
GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting.
Preprint (Aug. 2025). arXiv

[23]

I. A. Petrov • V. Guzov • R. Marin • E. Aksan • X. Chen • D. Cremers • T. Beeler • G. Pons-Moll
ECHO: Ego-Centric modeling of Human-Object interactions.
Preprint (Aug. 2025). arXiv

[22]

L. Xu • M. Sarkar • A. I. Lonappan • Í. Zubeldia • P. Villanueva-Domingo • S. Casas • C. Fidler • C. Amancharla • U. Tiwari • A. Bayer • C. A. Ekioui • M. Cranmer • A. Dimitrov • J. Fergusson • K. Gandhi • S. Krippendorf • A. Laverick • J. Lesgourgues • A. Lewis • T. Meier • B. Sherwin • K. Surrao • F. Villaescusa-Navarro • C. Wang • X. Xu • B. Bolliet
Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery.
ML4Astro @ICML 2025 - Machine Learning for Astrophysics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. PDF

[21]

R. Qorbani • G. Villani • T. Panagiotakopoulos • M. B. Colomer • L. Härenstam-Nielsen • M. Segu • P. L. Dovesi • J. Karlgren • D. Cremers • F. Tombari • M. Poggi
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[20]

K. Roth • Z. Akata • D. Damen • I. Balažević • O. J. Hénaff
Context-Aware Multimodal Pretraining.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[19]

J. Huang • J. Liang • J. Hu • M. Sundermeyer • P. K. T. Yu • N. Navab • B. Busam
XYZ-IBD: High-precision Bin-picking Dataset for Object 6D Pose Estimation Capturing Real-world Industrial Complexity.
Preprint (Jun. 2025). arXiv GitHub

[18]

N. Broestl • B. Lange • C. Voinea • G. Keeling • R. Lam
Evaluating Intra-firm LLM Alignment Strategies in Business Contexts.
Preprint (May. 2025). arXiv

[17]

G. Zhai • E. P. Örnek • D. Z. Chen • R. Liao • Y. Di • N. Navab • F. Tombari • B. Busam
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion.
Nectar Track @3DV 2025 - Nectar Track at the 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. arXiv

[16]

Y. Li • Q. Sun • S. M. K. Murthy • E. Alturki • B. W. Schuller
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations.
Preprint (Mar. 2025). arXiv

[15]

H. Shang • H. Wu • G. Zhai • B. Sun • F. Wang • F. Tombari • M. Pollefeys
SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulation.
Preprint (Mar. 2025). arXiv

[14]

B. D. Earp • S. P. Mann • M. Aboy • E. Awad • M. Betzler • M. Botes • R. Calcott • M. Caraccio • N. Chater • M. Coeckelbergh • M. Constantinescu • H. Dabbagh • K. Devlin • X. Ding • V. Dranseika • J. A. C. Everett • R. Fan • F. Feroz • K. B. Francis • C. Friedman • O. Friedrich • I. Gabriel • I. Hannikainen • J. Hellmann • A. K. Jahrome • N. S. Janardhanan • P. Jurcys • A. Kappes • M. A. Khan • G. Kraft-Todd • M. Kroner Dale • S. M. Laham • B. Lange • M. Leuenberger • J. Lewis • P. Liu • D. M. Lyreskog • M. Maas • J. McMillan • E. Mihailov • T. Minssen • J. Teperowski Monrad • K. Muyskens • S. Myers • S. Nyholm • A. M. Owen • A. Puzio • C. Register • M. G. Reinecke • A. Safron • H. Shevlin • H. Shimizu • P. V. Treit • C. Voinea • K. Yan • A. Zahiu • R. Zhang • H. Zohny • W. Sinnott-Armstrong • I. Singh • J. Savulescu • M. S. Clark
Relational Norms for Human-AI Cooperation.
Preprint (Feb. 2025). arXiv

[13]

M. Binz • S. Alaniz • A. Roskies • B. • C. T. Bergstrom • C. Allen • D. Schad • D. Wulff • J. D. • Q. Zhang • R. M. Shiffrin • S. J. Gershman • V. Popov • E. M. Bender • M. Marelli • M. M. Botvinick • Z. Akata • E. Schulz
How should the advancement of large language models affect the practice of science?
Proceedings of the National Academy of Sciences 122.5. Jan. 2025. DOI

[12]

V. Udandarao • K. Roth • S. Dziadzio • A. Prabhu • M. Cherti • O. Vinyals • O. Hénaff • S. Albanie • Z. Akata • M. Bethge
A Practitioner's Guide to Real-World Continual Multimodal Pretraining.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[11]

S. Liang • S. Wang • K. Li • M. Niemeyer • S. Gasperini • H. P. A. Lensch • N. Navab • F. Tombari
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians.
Preprint (Dec. 2024). arXiv

[10]

G. Keeling • B. Lange • A. McCroskery • K. Pedersen • D. Weinberger • B. Zevenbergen
Moral Imagination for Engineering Teams: The Technomoral Scenario.
The International Review of Information Ethics 34.1. Oct. 2024. DOI

[9]

K. Gatmiry • Z. Li • S. J. Reddi • S. Jegelka
Simplicity Bias via Global Convergence of Sharpness Minimization.
Preprint (Oct. 2024). arXiv

[8]

K. Gatmiry • N. Saunshi • S. J. Reddi • S. Jegelka • S. Kumar
On the Role of Depth and Looping for In-Context Learning with Task Diversity.
Preprint (Oct. 2024). arXiv

[7]

A. Christensen • N. Mojab • K. Patel • K. Ahuja • Z. Akata • O. Winther • O. Gonzalez-Franco • A. Colaco
Geometry Fidelity for Spherical Images.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[6]

G. Zhai • E. P. Örnek • D. Z. Chen • R. Liao • Y. Di • N. Navab • F. Tombari • B. Busam
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[5]

C. Tomani • D. Vilar • M. Freitag • C. Cherry • S. Naskar • M. Finkelstein • X. Garcia • D. Cremers
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[4]

L. Thede • K. Roth • O. J. Hénaff • M. Bethge • Z. Akata
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models.
CoLLAs 2024 - 3rd Conference on Lifelong Learning Agents. Pisa, Italy, Aug 11-14, 2024. URL

[3]

G. Kaissis • S. Kolek • B. Balle • J. Hayes • D. Rückert
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[2]

T. Papamarkou • M. Skoularidou • K. Palla • L. Aitchison • J. Arbel • D. Dunson • M. Filippone • V. Fortuin • P. Hennig • J. M. Hernández-Lobato • A. Hubin • A. Immer • T. Karaletsos • M. E. Khan • A. Kristiadi • Y. Li • S. Mandt • C. Nemeth • M. A. Osborne • T. G. J. Rudner • D. Rügamer • Y. W. Teh • M. Welling • A. G. Wilson • R. Zhang
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1]

Y. Chen • Y. Di • G. Zhai • F. Manhardt • C. Zhang • R. Zhang • F. Tombari • N. Navab • B. Busam
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

Siemens AG

Technology Group
Munich, Germany
31 Publications

[31]

T. Decker • V. Tresp
Towards Quantifying Incompatibilities in Evaluation Metrics for Feature Attributions.
XAI4Science @AAAI 2026 - 2nd Workshop XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge at the 40th Conference on Artificial Intelligence. Singapore, Jan 20-27, 2026. To be published. Preprint available. URL

[30]

J. Dexl • S. Gatidis • M. Früh • K. Jeblick • A. Mittermeier • A. T. Stüber • B. Schachtner • J. Topalis • M. P. Fabritius • S. Gu • G. K. Murugesan • J. VanOss • J. Ye • J. He • A. Alloula • B. W. Papież • Z. Mesbah • R. Modzelewski • M. Hadlich • Z. Marinov • R. Stiefelhagen • F. Isensee • K. H. Maier-Hein • A. Galdran • K. Nikolaou • C. la Fougère • M. Kim • N. Kallenberg • J. Kleesiek • K. Herrmann • R. Werner • M. Ingrisch • C. C. Cyran • T. Küstner
AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization.
Journal of Nuclear Medicine. Dec. 2025. DOI

[29]

H. Chen • Y. Zhang • Y. Bi • Y. Zhang • T. Liu • J. Bi • J. Lan • C. Grosser • D. Krompaß • J. Gu • N. Navab • V. Tresp
Does Machine Unlearning Truly Remove Knowledge?
Lock-LLM @NeurIPS 2025 - Lock-LLM Workshop: Prevent Unauthorized Knowledge Use from Large Language Models at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL

[28]

T. Decker • V. Tresp • F. Buettner
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. Spotlight Presentation. To be published. Preprint available. URL

[27]

S. Chen • Z. Li • Z. Han • B. He • T. Liu • H. Chen • G. Groh • P. Torr • V. Tresp • J. Gu
Deep Research Brings Deeper Harm.
ReliableML @NeurIPS 2025 - Workshop on Reliable ML from Unreliable Data at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. arXiv GitHub

[26]

S. Chen • J. Liu • Z. Han • Y. Xia • D. Cremers • P. Torr • V. Tresp • J. Gu
True Multimodal In-Context Learning Needs Attention to the Visual Context.
COLM 2025 - Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL GitHub

[25]

S. Chen • Z. Han • H. Chen • B. He • S. Si • J. Wu • P. Torr • V. Tresp • J. Gu
Bag of Tricks for Subverting Reasoning-based Safety Guardrails.
Preprint (Oct. 2025). arXiv GitHub

[24]

Y. Sun • M. Hagog • M. Weber • D. Hein • S. Udluft • Y. Ma • V. Tresp
First Experience with Real-Time Control Using Simulated VQC-Based Quantum Policies.
QCE 2025 - IEEE International Conference on Quantum Computing and Engineering. Albuquerque, NM, USA, Aug 31-Sep 05, 2025. DOI

[23]

H. Chen • H. Li • Y. Zhang • G. Zhang • J. Bi • P. Torr • J. Gu • D. Krompass • V. Tresp
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[22]

Y. Zhang • H. Gao • H. Chen • W. Li • Y. Ma • V. Tresp
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models.
Preprint (Jun. 2025). arXiv

[21]

A. Koebler • T. Decker • I. Thon • V. Tresp • F. Buettner
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. URL

[20]

T. Decker • V. Tresp • F. Buettner
Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations.
XAI4Science @ICLR 2025 - Workshop XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[19]

S. Chen • Z. Han • B. He • J. Liu • M. Buckley • Y. Qin • P. Torr • V. Tresp • J. Gu
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI URL

[18]

Y. Zhang • H. Chen • A. Frikha • Y. Yang • D. Krompass • G. Zhang • J. Gu • V. Tresp
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI

[17]

H. Chen • D. Krompass • J. Gu • V. Tresp
FedPop: Federated Population-based Hyperparameter Tuning.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[16]

A. Koebler • T. Decker • I. Thon • V. Tresp • F. Buettner
Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention.
BDU @NeurIPS 2024 - Workshop Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[15]

R. Liao • M. Erler • H. Wang • G. Zhai • G. Zhang • Y. Ma • V. Tresp
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI GitHub

[14]

Y. Sun • Z. Wu • Y. Ma • V. Tresp
Quantum Architecture Search with Unsupervised Representation Learning.
Preprint (Oct. 2024). arXiv

[13]

S. R. Vutukur • M. Ba • B. Busam • M. Kayser • G. Singh
SABER-6D: Shape Representation Based Implicit Object Pose Estimation.
Workshop @ECCV 2024 - Computer Vision Workshop at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[12]

T. Decker • A. Koebler • M. Lebacher • I. Thon • V. Tresp • F. Buettner
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI

[11]

Y. Sun • J. Liu • Z. Wu • Z. Ding • Y. Ma • T. Seidl • V. Tresp
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search.
Differentiable Almost Everything @ICML 2024 - Workshop Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. PDF

[10]

T. Decker • A. R. Bhattarai • J. Gu • V. Tresp • F. Buettner
Provably Better Explanations with Optimized Aggregation of Feature Attributions.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[9]

F. Karl • J. Thomas • J. Elstner • R. Gross • B. Bischl
Automated Machine Learning.
Unlocking Artificial Intelligence. Jul. 2024. DOI

[8]

H. Li • C. Shen • P. Torr • V. Tresp • J. Gu
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub

[7]

R. Liao • X. Jia • Y. Li • Y. Ma • V. Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models.
Findings @NAACL 2024 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI GitHub

[6]

Y. Han • Z. Ding • Y. Liu • B. He • V. Tresp
Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models.
ESWC 2024 - Extended Semantic Web Conference. Hersonissos, Crete, Greece, May 26-30, 2024. DOI

[5]

S. Chen • Z. Han • B. He • M. Buckley • P. Torr • V. Tresp • J. Gu
Understanding and Improving In-Context Learning on Vision-language Models.
ME-FoMo @ICLR 2024 - Workshop on Mathematical and Empirical Understanding of Foundation Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[4]

S. Chen • Z. Han • B. He • Z. Ding • W. Yu • P. Torr • V. Tresp • J. Gu
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
SeT LLM @ICLR 2024 - Workshop on Secure and Trustworthy Large Language Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[3]

H. Chen • Y. Zhang • D. Krompass • J. Gu • V. Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

[2]

U. Sahin • H. Li • Q. Khan • D. Cremers • V. Tresp
Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI GitHub

[1]

F. Borutta • P. Kröger • T. Hubauer
A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams.
SISAP 2019 - 12th International Conference on Similarity Search and Applications. Newark, New York, USA, Oct 02-04, 2019. DOI

Bosch

Technology Group
Gerlingen, Germany
23 Publications

[23]

[22]

M. Wang • L. Lange • H. Adel • Y. Ma • J. Strötgen • H. Schütze
Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[21]

Y. Liu • M. Wang • A. H. Kargaran • F. Körner • E. Nie • B. Plank • F. Yvon • H. Schütze
Tracing Multilingual Factual Knowledge Acquisition in Pretraining.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI GitHub

[20]

W. Zhou • B. Ma • A. Friedrich • M. Mesgar
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation.
Preprint (Oct. 2025). arXiv

[19]

Y. Liu • H. Ye • C. Ma • M. Wang • H. Schütze
LangSAMP: Language-Script Aware Multilingual Pretraining.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI GitHub

[18]

B. Ma • Y. Li • W. Zhou • Z. Gong • Y. J. Liu • K. Jasinskaja • A. Friedrich • J. Hirschberg • F. Kreuter • B. Plank
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[17]

E. Nie • B. Shao • Z. Ding • M. Wang • H. Schmid • H. Schütze
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI GitHub

[16]

M. Wang • H. Adel • L. Lange • Y. Liu • E. Nie • J. Strötgen • H. Schütze
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[15]

M. Wang • A. Stoll • L. Lange • H. Adel • H. Schütze • J. Strötgen
Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion.
L2M2 @ACL 2025 - 1st Workshop on Large Language Model Memorization at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[14]

K. Göbler • T. Windisch • M. Drton
Nonlinear Causal Discovery for Grouped Data.
Preprint (Jun. 2025). arXiv

[13]

Q. Wang • M. Wang • N. Feldhus • S. Ostermann • Y. Cao • H. Schütze • S. Möller • V. Schmitt
Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability.
Preprint (May. 2025). arXiv

[12]

Y. Shen • Z. Zhuang • K. Yuan • M.-I. Nicolae • N. Navab • N. Padoy • M. Fritz
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[11]

M. Wang • L. Lange • H. Adel • J. Strötgen • H. Schütze
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[10]

P. Janetzky • T. Schlagenhauf • S. Feuerriegel
Slowing Down Forgetting in Continual Learning.
Preprint (Nov. 2024). arXiv

[9]

[8]

W. Lai • M. Mesgar • A. Fraser
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[7]

M. Zhang • V. Gautam • M. Wang • J. Alabi • X. Shen • D. Klakow • M. Mosbach
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[6]

M. Wang • H. Adel • L. Lange • J. Strötgen • H. Schütze
Learn it or Leave it: Module Composition and Pruning for Continual Learning.
RepL4NLP-2024 @ACL 2024 - 9th Workshop on Representation Learning for NLP at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. URL

[5]

M. Bini • K. Roth • Z. Akata • A. Khoreva
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL GitHub

[4]

Y. Liu • P. Lin • M. Wang • H. Schütze
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining.
Findings @NAACL 2024 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

[3]

M. Wang • H. Adel • L. Lange • J. Strötgen • H. Schütze
Rehearsal-Free Modular and Compositional Continual Learning for Language Models.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

[2]

K. Göbler • T. Windisch • M. Drton • T. Pychynski • M. Roth • S. Sonntag
causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.
CLeaR 2024 - 3rd Conference on Causal Learning and Reasoning. Los Angeles, CA, USA, Apr 01-03, 2024. URL

[1]

L. Beggel • M. Pfeiffer • B. Bischl
Robust Anomaly Detection in Images Using Adversarial Autoencoders.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

Microsoft

Technology Group
Partnersites Germany, Europe & USA
13 Publications

[13]

Z. Cai • W. Hua • K. Li • Y. Ma • E. Nie • H. Schütze • K. Stanczak • M. E. Taylor
ICLR 2026 Workshop on Memory for LLM-Based Agentic Systems (MemAgents).
Preprint (Dec. 2025). URL

[12]

J. Meier • J. Michel • O. Dhaouadi • Y.-H. Yang • C. Reich • Z. Bauer • S. Roth • M. Pollefeys • J. Kaiser • D. Cremers
LeAD-M3D: Leveraging Asymmetric Distillation for Real-time Monocular 3D Detection.
Preprint (Dec. 2025). arXiv

[11]

T. Hannan • D. Mallios • P. Pathak • F. Sardari • T. Seidl • G. Bertasius • M. Fayyaz • S. Sengupta
DocSLM: A Small Vision-Language Model for Long Multimodal Document Understanding.
Preprint (Nov. 2025). arXiv

[10]

O. Kuzyk • Z. Li • M. Pollefeys • X. Wang
VisualChef: Generating Visual Aids in Cooking via Mask Inpainting.
GCPR 2025 - German Conference on Pattern Recognition. Freiburg, Germany, Oct 23-26, 2025. DOI

[9]

W. Chen • G. Zhang • F. Wimbauer • R. Wang • N. Araslanov • A. Vedaldi • D. Cremers
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv

[8]

B. Bischl • G. Casalicchio • T. Das • M. Feurer • S. F. Fischer • P. Gijsbers • S. Mukherjee • A. C. Müller • L. Németh • L. Oala • L. Purucker • S. Ravi • J. N. van Rijn • P. Singh • J. Vanschoren • J. van der Velde • M. Wever
OpenML: Insights from 10 years and more than a thousand papers.
Patterns 6.7. Jul. 2025. DOI

[7]

A. Modarressi • A. Köksal • A. Imani • M. Fayyaz • H. Schütze
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory.
NFAM @ICLR 2025 - Workshop on New Frontiers in Associative Memories at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[6]

Y.-J. Li • M. Gladkova • Y. Xia • R. Wang • D. Cremers
VXP: Voxel-Cross-Pixel Large-Scale Camera-LiDAR Place Recognition.
3DV 2025 - 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. DOI

[5]

[4]

M. Kollovieh • B. Charpentier • D. Zügner • S. Günnemann
Expected Probabilistic Hierarchies.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[3]

L. Yang • L. Hoyer • M. Weber • T. Fischer • D. Dai • L. Leal-Taixé • D. Cremers • M. Pollefeys • L. Van Gool
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[2]

M. Lindauer • F. Karl • A. Klier • J. Moosbauer • A. Tornede • A. C. Mueller • F. Hutter • M. Feurer • B. Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigm.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1]

A. Modarressi • A. Imani • M. Fayyaz • H. Schütze
RET-LLM: Towards a General Read-Write Memory for Large Language Models.
AGI @ICLR 2024 - Workshop on Artificial General Intelligence at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. arXiv

Huawei

Technology Group
Partnersites Germany, Europe & China
12 Publications

[12]

X. Jing • J. Wang • A. Triantafyllopoulos • M. Gerczuk • S. Amiriparian • J. Luo • B. W. Schuller
SmoothCLAP: Soft-Target Enhanced Contrastive Language-Audio Pretraining for Affective Computing.
Preprint (Jan. 2026). arXiv

[11]

Y. Bai • L. Yang • G. Eskandar • F. Shen • M. Altillawi • Z. Liu • G. Kutyniok
DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos.
Preprint (Dec. 2025). arXiv

[10]

Z. Cai • W. Hua • K. Li • Y. Ma • E. Nie • H. Schütze • K. Stanczak • M. E. Taylor
ICLR 2026 Workshop on Memory for LLM-Based Agentic Systems (MemAgents).
Preprint (Dec. 2025). URL

[9]

H. Luo • Q. Cheng • D. Matos • H. K. Gadi • Y. Zhang • L. Liu • Y. Wang • N. Zeller • D. Cremers • L. Meng
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[8]

J. Bi • Y. Wang • H. Chen • X. Xiao • A. Hecker • V. Tresp • Y. Ma
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[7]

Q. Bouniot • I. Redko • A. Mallasto • C. Laclau • O. Struckmeier • K. Arndt • M. Heinonen • V. Kyrki • S. Kaski
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[6]

S. Wang • Q. Cheng • Q. Cheng • W. Zhang • S.-C. Wu • N. Zeller • D. Cremers • N. Navab
VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis.
IEEE Robotics and Automation Letters 10.6. Jun. 2025. DOI

[5]

S. Roschmann • Q. Bouniot • V. Feofanov • I. Redko • Z. Akata
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers.
Preprint (Jun. 2025). arXiv

[4]

J. Bi • D. Yan • Y. Wang • W. Huang • H. Chen • G. Wan • M. Ye • X. Xiao • H. Schütze • V. Tresp • Y. Ma
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process.
Preprint (May. 2025). arXiv

[3]

J. Bi • Aniri • Y. Wang • D. Yan • W. Huang • Z. Jin • X. Ma • S. Yan • A. Hecker • M. Ye • X. Xiao • H. Schütze • V. Tresp • Y. Ma
PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection.
Preprint (Feb. 2025). arXiv GitHub

[2]

M. Milling • S. Liu • A. Triantafyllopoulos • I. Aslan • B. W. Schuller
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance.
Journal of Computer Science and Technology 39. Sep. 2024. DOI

[1]

L. Christ • S. Amiriparian • M. Milling • I. Aslan • B. W. Schuller
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

NVIDIA

Technology Group
Partnersites Germany & USA
12 Publications

[12]

T. Putterman • D. Lim • Y. Gelberg • M. M. Bronstein • S. Jegelka • H. Maron
GL Equivariant Metanetworks for Learning on Low Rank Weight Spaces.
LOG 2025 - 4th Learning on Graphs Conference. Phoenix, AZ, USA, Dec 10-12, 2025. URL

[11]

Y. Wang • Z. Xiong • C. Liu • A. J. Stewart • T. Dujardin • N. I. Bountos • A. Zavras • F. Gerken • I. Papoutsis • L. Leal-Taixé • X. Zhu
Towards a Unified Copernicus Foundation Model for Earth Vision.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv GitHub

[10]

T. Hannan • S. Wu • M. Weber • S. Shit • J. Gu • R. Koner • A. Ošep • L. Leal-Taixé • T. Seidl
SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding.
Preprint (Oct. 2025). arXiv

[9]

N. Bubeck • S. Shit • C. Chen • C. Zhao • P. Guo • D. Yang • G. Zitzlsberger • D. Xu • B. Kainz • D. Rückert • J. Pan
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.
Preprint (Aug. 2025). arXiv

[8]

C. Chan • Y. Yim • H. Zeng • Z. Zou • X. Cheng • Z. Sun • Z. Deng • K. Chung • Y. Ao • Y. Fan • C. Jiayang • E. Nie • G. Y. Wong • H. Schmid • H. Schütze • S. See • Y. Song
XToM: Exploring the Multilingual Theory of Mind for Large Language Models.
Preprint (Jun. 2025). arXiv

[7]

J. Seidenschwarz • Q. Zhou • B. Duisterhof • D. Ramanan • L. Leal-Taixé
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction.
3DV 2025 - 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. DOI

[6]

N. P. A. Vu • A. Saroha • O. Litany • D. Cremers
GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields.
Preprint (Mar. 2025). arXiv

[5]

F. Hofherr • B. Haefner • D. Cremers
On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. Oral Presentation. DOI

[4]

A. Saroha • F. Hofherr • M. Gladkova • C. Curreli • O. Litany • D. Cremers
ZDySS -- Zero-Shot Dynamic Scene Stylization using Gaussian Splatting.
Preprint (Jan. 2025). arXiv

[3]

[2]

M. Brahimi • B. Haefner • Z. Ye • B. Goldluecke • D. Cremers
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1]

A. Toker • M. Eisenberger • D. Cremers • L. Leal-Taixé
SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

DeepScenario

Autonomous Driving Startup
Stuttgart, Germany
10 Publications

[10]

O. Dhaouadi • J. Meier • J. Kaiser • D. Cremers
GrounDiff: Diffusion-Based Ground Surface Generation from Digital Surface Models.
WACV 2026 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Mar 06-10, 2026. To be published. Preprint available. arXiv GitHub

[9]

[8]

O. Dhaouadi • R. Marin • J. Meier • J. Kaiser • D. Cremers
OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. Oral Presentation. To be published. Preprint available. URL GitHub

[7]

J. Xie • O. Dhaouadi • W. Chen • J. Meier • J. Kaiser • D. Cremers
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry.
GCPR 2025 - German Conference on Pattern Recognition. Freiburg, Germany, Oct 23-26, 2025. Best Paper Award. DOI

[6]

Y. Xia • Y. Lu • R. Song • O. Dhaouadi • J. F. Henriques • D. Cremers
TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[5]

O. Dhaouadi • J. Meier • J. Kaiser • D. Cremers
Shape Your Ground: Refining Road Surfaces Beyond Planar Representations.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Napoca, Romania, Jun 22-25, 2025. DOI

[4]

O. Dhaouadi • J. Meier • L. Wahl • J. Kaiser • L. Scalerandi • N. Wandelburg • Z. Zhou • N. Berinpanathan • H. Banzhaf • D. Cremers
Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Napoca, Romania, Jun 22-25, 2025. DOI

[3]

J. Meier • L. Inchingolo • O. Dhaouadi • Y. Xia • J. Kaiser • D. Cremers
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Napoca, Romania, Jun 22-25, 2025. To be published. Preprint available. arXiv

[2]

J. Meier • L. Inchingolo • O. Dhaouadi • Y. Xia • J. Kaiser • D. Cremers
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

[1]

J. Meier • L. Scalerandi • O. Dhaouadi • J. Kaiser • N. Araslanov • D. Cremers
CARLA Drone: Monocular 3D Object Detection from a Different Perspective.
GCPR 2024 - German Conference on Pattern Recognition. Munich, Germany, Oct 10-13, 2024. DOI

Amazon

Technology Group
Partnersites Germany & USA
8 Publications

[8]

[7]

S. M. Lo • S. Casola • E. Sezerer • V. Basile • F. Sansonetti • A. Uva • D. Bernardi
PERSEVAL: A Framework for Perspectivist Classification Evaluation.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[6]

S. Kolek • A. Chattopadhyay • K. H. R. Chan • H. Andrade-Loarca • G. Kutyniok • R. Vidal
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[5]

S. Chen • Z. Han • H. Chen • B. He • S. Si • J. Wu • P. Torr • V. Tresp • J. Gu
Bag of Tricks for Subverting Reasoning-based Safety Guardrails.
Preprint (Oct. 2025). arXiv GitHub

[4]

[3]

S. Xu • S. T. Y. S. S • B. Plank
From Noise to Signal to Selbstzweck: Reframing Human Label Variation in the Era of Post-training in NLP.
Preprint (Oct. 2025). arXiv

[2]

H. Zhang • J. Liu • Z. Han • S. Chen • B. He • V. Tresp • Z. Xu • J. Gu
Visual Question Decomposition on Multimodal Large Language Models.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1]

L. K. Senel • B. Fetahu • D. Yoshida • Z. Chen • G. Castellucci • N. Vedula • J. I. Choi • S. Malmasi
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

Apple

Technology Group
Partnersites Germany, Europe & USA
7 Publications

[7]

S. Ball • G. Gluch • S. Goldwasser • F. Kreuter • O. Reingold • G. N. Rothblum
On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment.
ICLR 2026 - 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. arXiv

[6]

M. Gui • J. Schusterbauer • T. Phan • F. Krause • J. Susskind • M. A. Bautista • B. Ommer
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation.
Preprint (Oct. 2025). arXiv

[5]

V. Blaschke • M. Fedzechkina • M. Ter Hoeve
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[4]

T. Uscidda • L. Eyring • K. Roth • F. J. Theis • Z. Akata • M. Cuturi
Disentangled Representation Learning with the Gromov-Monge Gap.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[3]

N. Stracke • S. A. Baumann • J. M. Susskind • M. A. Bautista • B. Ommer
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[2]

T. Uscidda • L. Eyring • K. Roth • F. J. Theis • Z. Akata • M. Cuturi
Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap.
SPIGM @ICML 2024 - Workshop on Structured Probabilistic Inference & Generative Modeling at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. arXiv

[1]

Z. Ye • G. Peyré • D. Cremers • P. Ablin
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization.
AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, May 02-04, 2024. URL GitHub

BMW Group

Automotive Group
Munich, Germany
7 Publications

[7]

[6]

[5]

M. Kosmas • A.-S. Mayer • S. Feuerriegel • F. Bodendorf
From Code to Culture: Aligning Large Language Models with Corporate Values.
Preprint (Oct. 2025). DOI

[4]

S. Haas • E. Hüllermeier
Conformalized prescriptive machine learning for uncertainty-aware automated decision making: the case of goodwill requests.
International Journal of Data Science and Analytics 20.3. Sep. 2025. DOI

[3]

M. Herold • J. S. Jehle • F. Krahmer • A. Veselovska
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis.
International Journal for Uncertainty Quantification 15.4. Mar. 2025. DOI

[2]

A. Bonfanti • G. Bruno • C. Cipriani
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1]

S. Haas • K. Hegestweiler • M. Rapp • M. Muschalik • E. Hüllermeier
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments.
Frontiers in Artificial Intelligence 7. Oct. 2024. DOI

VisualAIs Labs

AI Startup
Munich, Germany
6 Publications

[6]

[5]

K. Li • M. Niemeyer • S. Wang • S. Gasperini • N. Navab • F. Tombari
SING3R-SLAM: Submap-based Indoor Monocular Gaussian SLAM with 3D Reconstruction Priors.
Preprint (Oct. 2025). arXiv

[4]

S. Wang • K. Li • S. Liang • E. Alegret • J. Ma • N. Navab • S. Gasperini
Visibility-Aware Language Aggregation for Open-Vocabulary Segmentation in 3D Gaussian Splatting.
Preprint (Sep. 2025). arXiv

[3]

[2]

[1]

Others

114 Publications

[114]

D. S. Bové • H. Seibold • A.-L. Boulesteix • J. Manitz • A. Gasparini • B. K. Günhan • O. Boix • A. Schüler • S. Fillinger • S. Nahnsen • A. E. Jacob • T. Jaki
The statistical software revolution in pharmaceutical development: challenges and opportunities in open source.
Drug Discovery Today. Feb. 2026. DOI

[113]

M. K. Belaid • M. Rabus • E. Hüllermeier
Uncertainty Quantification in Pairwise Difference Learning for Classification.
Machine Learning 115.12. Jan. 2026. DOI

[112]

L. Ciernik • M. Morik • L. Thede • L. Eyring • S. Nakajima • Z. Akata • L. Muttenthaler
Beyond the final layer: Attentive multilayer fusion for vision transformers.
Preprint (Jan. 2026). arXiv

[111]

J.-M. Diederen • H. Rauhut • U. Terstiege
Convergence of gradient flow for learning convolutional neural networks.
Preprint (Jan. 2026). arXiv

[110]

I. Ziegler • B. Ma • B. Bischl • B. Schubert • E. Dorigatti
Enhancing Multi-Epitope Vaccine Effectiveness Through State-of-the-Art Proteasomal Cleavage Prediction With Deep Learning.
BIPM 2025 - IEEE International Conference on Bioinformatics and Biomedicine. Wuhan, China, Dec 15-18, 2025. DOI GitHub

[109]

[108]

S. Buchka • J. Havla • B. I. Ön • R. Rehms • U. Mansmann
Individual-level surrogacy of MRI lesions for disease severity in RRMS: Methods to quantify predictive power and their application to longitudinal data from recent trials.
PLOS One 20.12. Dec. 2025. DOI

[107]

S. Ofori-Ampofo • R. S. Kuzu • P. Schauer • M. Willberg • A. Höhl • X. Zhu
On the strategy of exploring spatio-temporal information from Earth observation data for crop yield prediction.
Smart Agricultural Technology 12.101540. Dec. 2025. DOI

[106]

F. Holm • G. Ghazaei • N. Navab
ProtoFlow: Interpretable and Robust Surgical Workflow Modeling with Learned Dynamic Scene Graph Prototypes.
Preprint (Dec. 2025). arXiv

[105]

A. Rota • M. Kiray • M. A. Karaoglu • P. Ruhkamp • E. De Momi • N. Navab • B. Busam
UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision.
Preprint (Dec. 2025). arXiv GitHub

[104]

[103]

[102]

M. Kollovieh • N. Fleischmann • F. Guerranti • B. Charpentier • S. Günnemann
TreeGen: A Bayesian Generative Model for Hierarchies.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL

[101]

F. Liu • R. Zhao • S. Chen • G. Li • P. Torr • L. Han • J. Gu
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[100]

H. Chen • S. Szyller • W. Xu • N. Himayat
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI GitHub

[99]

M. Sengupta • M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier • D. Ghosh • H. Wachsmut
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[98]

S. F. Fischer • J. Zobolas • R. Sonabend • M. Becker • M. Lang • M. Binder • L. Schneider • L. Burk • P. Schratz • B. C. Jaeger • S. A. Lauer • L. A. Kapsner • M. Mücke • Z. Wang • D. Pulatov • K. Ganz • H. Funk • L. Harutyunyan • P. Camilleri • P. Kopper • A. Bender • B. Zhou • N. German • L. Koers • A. Nazarova • B. Bischl
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.
The Journal of Open Source Software 10.115. Nov. 2025. DOI

[97]

R. Kassoumeh • D. Rügamer • H. Oppel
Enhancing Heavy Rain Nowcasting with Multimodal Data: Integrating Radar and Satellite Observations.
Preprint (Nov. 2025). arXiv GitHub

[96]

Z. Shumaylov • P. Zaika • P. Scholl • G. Kutyniok • L. Horesh • C.-B. Schönlieb
When is a System Discoverable from Data? Discovery Requires Chaos.
Preprint (Nov. 2025). arXiv

[95]

S. Ullah • S. S. Sahoo • C. Li • C. Li • L. Liu • T. S. Pereira • B. Wen • X. Yin • A. Darjani • N. Kavand • C. Bodla • R. Y. Panduga • A. Holemadlu • J. Maly • J. Förste • S. Vadia • X. S. Hu • A. Kumar
Invited Paper: Circuit and Architecture Design with Emerging Computing Paradigms.
ICCAD 2025 - 44th IEEE/ACM International Conference on Computer-Aided Design. Munich, Germany, Oct 26-30, 2025. DOI

[94]

S. Karthik • H. Coskun • Z. Akata • S. Tulyakov • J. Ren • A. Kag
Scalable Ranked Preference Optimization for Text-to-Image Generation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv

[93]

P. Wulff • F. Wimbauer • D. Muhle • D. Cremers
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[92]

K. Hechinger • C. Schweden • X. Zhu • G. Kauermann
Human-in-the-loop: Towards label embeddings for assessing classification difficulty.
Statistical Modelling Early Access. Oct. 2025. DOI

[91]

C. Hobelsberger • T. Winner • A. Nawroth • O. Mitevski • A.-C. Haensch
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models.
Preprint (Oct. 2025). arXiv

[90]

G. Zhai • Y. Zhou • X. Deng • L. Heckler • N. Navab • B. Busam
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors.
Preprint (Oct. 2025). arXiv

[89]

F. Holm • G. Ünver • G. Ghazaei • N. Navab
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[88]

S. Joutard • M. Stollenga • M. B. Sanchez • M. F. Azampour • R. Prevost
HyperSORT: Self-Organising Robust Training with hyper-networks.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[87]

H. Maier • S. Faghihroohi • P. Steininger • F. Wirth • A. Karlas • N. Navab
A Study in Scatter: Investigating Low-Contrast Image Contents Outside the X-Ray Collimation.
MSB EMERGE @MICCAI 2025 - 2nd MICCAI Student Board Emerge Workshop at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. URL

[86]

P. Kopper • D. Rügamer • R. Sonabend • B. Bischl • A. Bender
On Training Survival Models with Scoring Rules.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI

[85]

L. Girrbach • C.-P. Su • T. Saanum • R. Socher • E. Schulz • Z. Akata
Reference-Free Rating of LLM Responses via Latent Information.
Preprint (Sep. 2025). arXiv

[84]

J. Persson • S. Feuerriegel • C. Kadar
Learning from Editorial Decisions: Optimizing Audience-Wide Content Promotions with Causal Machine Learning.
Preprint (Sep. 2025). DOI

[83]

[82]

F. Bortolussi • H. Sandström • F. Partovi • J. Mikkilä • P. Rinke • M. Rissanen
Towards atmospheric identification in chemical ionization mass spectrometry with machine learning.
EAC 2025 - European Aerosol Conference. Lecce, Italy, Aug 31-Sep 05, 2025. URL

[81]

S. M. K. Murthy • U. Airsang • K. Rajamani • B. W. Schuller
From Code to Carbon: Being Energy Efficient while Coding.
ICSRF 2025 - International Conference on Sustainable & Resilient Futures: Bridging Science, Policy, & Practice . Kollam, India, Aug 29-Sep 01, 2025. DOI

[80]

U. Reichel • M. Gonzalez Machorro • L. Ehlen • P. Hecker • D. Peitz • C. Werner • F. Burkhardt • C. Kohlschein • F. Eyben • B. W. Schuller
Domain adaptation and question-answer pooling for Aphasia modelling.
ICNLSP 2025 - 8th International Conference on Natural Language and Speech Processing. Odense, Denmark, Aug 25-27, 2025. URL

[79]

V. Margraf • T. Koerner • A. Tornede • M. Wever
RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive.
ACM Transactions on Evolutionary Learning and Optimization 5.3. Aug. 2025. DOI

[78]

H. Eichhorn • V. Spieker • K. Hammernik • E. Saks • L. Felsner • K. Weiss • C. Preibisch • J. A. Schnabel
Motion-robust T2* quantification from low-resolution gradient echo brain MRI with physics-informed deep learning.
Magnetic Resonance in Medicine 95.1. Aug. 2025. DOI

[77]

F. Drexel • V. Sideri-Lampretsa • H. Bast • A. W. Marka • T. Koehler • F. T. Gassert • D. Pfeiffer • D. Rückert • F. Pfeiffer
Deformable image registration of dark-field chest radiographs for functional lung assessment.
Medical Physics 52.8. Aug. 2025. DOI

[76]

A. Köksal • M. Thaler • A. Imani • A. Üstün • A. Korhonen • H. Schütze
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions.
Transactions of the Association for Computational Linguistics 13. Aug. 2025. DOI GitHub

[75]

R. Lu • J. Bi • Y. Ma • F. Xiao • Y. Du • Y. Tian
MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media.
Preprint (Aug. 2025). arXiv

[74]

L. Hagström • E. Nie • R. Halifa • H. Schmid • R. Johansson • A. Junge
Language Model Re-rankers are Fooled by Lexical Similarities.
FEVER @ACL 2025 - 8th Fact Extraction and VERification Workshop at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[73]

[72]

J. Zausinger • L. Pennig • A. Kozina • S. Sdahl • J. Sikora • A. Dendorfer • T. Kuznetsov • M. Hagog • N. Wiedemann • K. Chlodny • V. Limbach • A. Ketteler • T. Prein • V. M. Singh • M. M. Danziger • J. Born
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL GitHub

[71]

[70]

[69]

[68]

W. Li • H. Xu • J. Huang • H. Jung • P. K. Yu • N. Navab • B. Busam
GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[67]

[66]

Y. Luo • R. Hoffmann • Y. Xia • O. Wysocki • B. Schwab • T. H. Kolbe • D. Cremers
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning.
PBVS @CVPR 2025 - 21st IEEE Workshop on Perception Beyond the Visible Spectrum at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[65]

E. Guha • R. Marten • S. Keh • N. Raoof • G. Smyrnis • H. Bansal • M. Nezhurina • J. Mercat • T. Vu • Z. Sprague • A. Suvarna • B. Feuer • L. Chen • Z. Khan • E. Frankel • S. Grover • C. Choi • N. Muennighoff • S. Su • W. Zhao • J. Yang • S. Pimpalgaonkar • K. Sharma • C. C.-J. Ji • Y. Deng • S. Pratt • V. Ramanujan • J. Saad-Falcon • J. Li • A. Dave • A. Albalak • K. Arora • B. Wulfe • C. Hegde • G. Durrett • S. Oh • M. Bansal • S. Gabriel • A. Grover • K.-W. Chang • V. Shankar • A. Gokaslan • M. A. Merrill • T. Hashimoto • Y. Choi • J. Jitsev • R. Heckel • M. Sathiamoorthy • A. G. Dimakis • L. Schmidt
OpenThoughts: Data Recipes for Reasoning Models.
Preprint (Jun. 2025). arXiv URL

[64]

[63]

N. Broestl • B. Lange • C. Voinea • G. Keeling • R. Lam
Evaluating Intra-firm LLM Alignment Strategies in Business Contexts.
Preprint (May. 2025). arXiv

[62]

X. Jing • J. Wang • I. Tsangko • A. Triantafyllopoulos • B. W. Schuller
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge.
Preprint (May. 2025). arXiv

[61]

A. Karamolegkou • A. Borah • E. Cho • S. R. Choudhury • M. Galletti • R. Ghosh • P. Gupta • O. Ignat • P. Kargupta • N. Kotonya • H. Lamba • S.-J. Lee • A. Mangla • I. Mondal • D. Nazarova • P. Nemkova • D. Pisarevskaya • N. Rizwan • N. Sabri • D. Stammbach • A. Steinberg • D. Tomás • S. R. Wilson • B. Yi • J. H. Zhu • A. Zubiaga • A. Søgaard • A. Fraser • Z. Jin • R. Mihalcea • J. R. Tetreault • D. Dementieva
NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment.
Preprint (May. 2025). arXiv

[60]

P. Lin • A. F. T. Martins • H. Schütze
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples.
Findings @NAACL 2025 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI GitHub

[59]

P. Lin • A. F. T. Martins • H. Schütze
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models.
NAACL 2025 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[58]

J. Leusmann • A. Belardinelli • L. Haliburton • S. Hasler • A. Schmidt • S. Mayer • M. Gienger • C. Wang
Investigating LLM-Driven Curiosity in Human-Robot Interaction.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[57]

E. Abdelrahman • L. Zhao • V. T. Hu • M. Cord • P. Perez • M. Elhoseiny
ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[56]

L. Fang • Y. Wang • Z. Liu • C. Zhang • S. Jegelka • J. Gao • B. Ding • Y. Wang
What is Wrong with Perplexity for Long-context Language Modeling?
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[55]

M. Weber • L. Yu • Q. Yu • X. Deng • X. Shen • D. Cremers • L.-C. Chen
MaskBit: Embedding-free Image Generation via Bit Tokens.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Journal Track. URL URL

[54]

J. R. Jostan • L. M. Rodriguez • D. Z. Bernal • J. O. Berdugo • V. Aljure • F. Lopez • J. R. Lopez • N. Navab • D. Mateus • V. G. Duque
Ultrasound Nerve Segmentation with Deep Learning for Leprosy.
ISBI 2025 - IEEE 22nd International Symposium on Biomedical Imaging. Houston, TX, USA, Apr 14-17, 2025. DOI

[53]

K. Schwethelm • J. Kaiser • J. Kuntzer • M. Yigitsoy • D. Rückert • G. Kaissis
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy.
SaTML 2025 - IEEE Conference on Secure and Trustworthy Machine Learning. Copenhagen, Denmark, Apr 09-11, 2025. DOI

[52]

X. Jing • K. Zhou • A. Triantafyllopoulos • B. W. Schuller
Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models.
ICASSP 2025 - IEEE International Conference on Acoustics, Speech and Signal Processing. Hyderabad, India, Apr 06-11, 2025. DOI

[51]

J. Huang • P. K. Yu • N. Navab • B. Busam
TTAPose: Test-time Adaptation for Unseen Object Pose Estimation.
IEEE Robotics and Automation Letters 10.6. Apr. 2025. DOI

[50]

M. Fischer • P. Neher • P. J. Schüffler • S. Ziegler • S. Xiao • R. Peretzke • D. Clunie • C. Ulrich • M. Baumgartner • A. Muckenhuber • S. Dias Almeida • M. Götz • J. Kleesiek • M. Nolden • R. Braren • K. Maier-Hein
Unlocking the potential of digital pathology: Novel baselines for compression.
Journal of Pathology Informatics 17.100421. Apr. 2025. DOI

[49]

N. Röhrich • A. Hoffmann • R. Nordsieck • E. Zarbali • A. Javanmardi
Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics.
Preprint (Apr. 2025). arXiv

[48]

S. Garske • K. Heidler • B. Evans • K. Wong • X. Zhu
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Early Access. Mar. 2025. DOI GitHub

[47]

M. Schneble • G. Kauermann
Statistical modelling of on-street parking spot occupancy in smart cities.
Journal of the Royal Statistical Society. Series C (Applied Statistics) 74.4. Mar. 2025. DOI

[46]

M. L. Mostafa • A. Alperovich • D. Fedotov • G. Ghazaei • S. Saur • A. Farshad • N. Navab
Surgical Flow Masked Autoencoder for Event Recognition.
Preprint (Mar. 2025). PDF

[45]

[44]

O. Petersen • M. Kollovieh • M. Lienen • S. Günnemann
Discrete Bayesian Sample Inference for Graph Generation.
Preprint (Feb. 2025). arXiv

[43]

F. Bortolussi • H. Sandström • F. Partovi • J. Mikkilä • P. Rinke • M. Rissanen
Technical note: Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning.
Atmospheric Chemistry and Physics 25.1. Jan. 2025. DOI

[42]

R. Dorent • R. Khajavi • T. Idris • E. Ziegler • B. Somarouthu • H. Jacene • A. LaCasce • J. Deissler • J. Ehrhardt • S. Engelson • S. M. Fischer • Y. Gu • H. Handels • S. Kasai • S. Kondo • K. Maier-Hein • J. A. Schnabel • G. Wang • L. Wang • T. Wald • G.-Z. Yang • H. Zhang • M. Zhang • S. Pieper • G. Harris • R. Kikinis • T. Kapur
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.
Machine Learning for Biomedical Imaging 3.Special Issue. Jan. 2025. DOI GitHub

[41]

F. Drexel • V. Sideri-Lampretsa • H. Bast • A. W. Marka • T. Koehler • F. T. Gassert • D. Pfeiffer • D. Rückert • F. Pfeiffer
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment.
Preprint (Jan. 2025). arXiv

[40]

E. Ailer • N. Dern • J. Hartford • N. Kilbertus
Targeted Sequential Indirect Experiment Design.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[39]

R. Dhahri • A. Immer • B. Charpentier • S. Günnemann • V. Fortuin
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[38]

L. Eyring • S. Karthik • K. Roth • A. Dosovitskiy • Z. Akata
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[37]

[36]

V. Basile • S. Casola • S. Frenda • S. M. Lo
PERSEID - Perspectivist Irony Detection: A CALAMITA Challenge.
CLiC-it 2024 - 10th Italian Conference on Computational Linguistics. Pisa, Italy, Dec 04-06, 2024. URL

[35]

S. Frenda • A. Piergentili • B. Savoldi • M. Madeddu • M. Rosola • S. Casola • C. Ferrando • V. Patti • M. Negri • L. Bentivogli
GFG - Gender-Fair Generation: A CALAMITA Challenge.
CLiC-it 2024 - 10th Italian Conference on Computational Linguistics. Pisa, Italy, Dec 04-06, 2024. URL

[34]

L. B. Kuemmerle • M. D. Luecken • A. B. Firsova • L. Barros de Andrade e Sousa • L. Straßer • I. I. Mekki • F. Campi • L. Heumos • M. Shulman • V. Beliaeva • S. Hediyeh-Zadeh • A. C. Schaar • K. T. Mahbubani • A. Sountoulidis • T. Balassa • F. Kovacs • P. Horvath • M. Piraud • A. Ertürk • C. Samakovlis • F. J. Theis
Probe set selection for targeted spatial transcriptomics.
Nature Methods 21. Dec. 2024. DOI

[33]

M. Weber • L. Yu • Q. Yu • X. Deng • X. Shen • D. Cremers • L.-C. Chen
MaskBit: Embedding-free Image Generation via Bit Tokens.
Transactions on Machine Learning Research. Dec. 2024. Certifications: Reproducibility, Featured. URL

[32]

C. Kern • R. Bach • H. Mautner • F. Kreuter
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
ACM Journal on Responsible Computing. Nov. 2024. DOI

[31]

T. Woehrle • F. Pfeiffer • M. M. Mandl • W. Sobtzick • J. Heitzer • A. Krstova • L. Kamm • M. Feuerecker • D. Moser • M. Klein • B. Aulinger • M. Dolch • A.-L. Boulesteix • D. Lanz • A. Choukér
Point-of-care breath sample analysis by semiconductor-based E-Nose technology discriminates non-infected subjects from SARS-CoV-2 pneumonia patients: a multi-analyst experiment.
MedComm 5.11. Nov. 2024. DOI

[30]

K. R. Scherer • F. Burkhardt • U. D. Reichel • F. Eyben • B. W. Schuller
Using voice analysis as an early indicator of risk for depression in young adults.
Preprint (Nov. 2024). arXiv

[29]

F. Dülmer • W. Simson • M. F. Azampour • M. Wysocki • A. Karlas • N. Navab
PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement.
ASMUS @MICCAI 2024 - 5th International Workshop on Advances in Simplifying Medical Ultrasound at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. ASMUS @MICCAI 2024 Best Paper Award. DOI

[28]

D. Grzech • L. Le Folgoc • M. F. Azampour • A. Vlontzos • B. Glocker • N. Navab • J. A. Schnabel • B. Kainz
Unsupervised Similarity Learning for Image Registration with Energy-Based Models.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[27]

J. Rudolph • J. Rueckel • J. Döpfert • W. X. Ling • J. Opalka • C. Brem • N. Hesse • M. Ingenerf • V. Koliogiannis • O. Solyanik • B. F. Hoppe • H. Zimmermann • W. Flatz • R. Forbrig • M. Patzig • B.-S. Rauchmann • R. Perneczky • O. Peters • J. Priller • A. Schneider • K. Fliessbach • A. Hermann • J. Wiltfang • F. Jessen • E. Düzel • K. Buerger • S. Teipel • C. Laske • M. Synofzik • A. Spottke • M. Ewers • P. Dechent • J.-D. Haynes • J. Levin • T. Liebig • J. Ricke • M. Ingrisch • S. Stoecklein
Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia.
Alzheimer’s and Dementia 16.e70037. Oct. 2024. DOI

[26]

B. Liao • Z. Zhao • L. Chen • H. Li • D. Cremers • P. Liu
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[25]

F. Stilz • M. Karaoglu • F. Tristram • N. Navab • B. Busam • A. Ladikos
Progressive Optimization of Camera Pose and 4D Radiance Fields for long Endoscopic Videos.
NeuralBCC @ECCV 2024 - 1st Workshop on Neural Fields Beyond Conventional Cameras at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. PDF

[24]

S. Kalabakov • M. Gonzalez-Machorro • F. Eyben • B. W. Schuller • B. Arnrich
A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. PDF

[23]

A. Kathan • M. Bürger • A. Triantafyllopoulos • S. Milkus • R. Musil • B. W. Schuller • S. Amiriparian
Real-world PTSD Recognition: A Cross-corpus and Cross-linguistic Evaluation.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. DOI

[22]

O. Schrüfer • M. Milling • F. Burkhardt • F. Eyben • B. W. Schuller
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. PDF

[21]

S. Xu • S. T.y.s.s • O. Ichim • B. Plank • M. Grabmair
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[20]

L. Burk • J. Zobolas • B. Bischl • A. Bender • M. N. Wright • R. Sonabend
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data.
Statistical Computing 2024 - 54. Arbeitstagung der Arbeitsgruppen Statistical Computing, Klassifikation und Datenanalyse in den Biowissenschaften. Günzburg, Germany, Jul 28-31, 2024. PDF

[19]

[18]

A. Kathan • S. Amiriparian • A. Triantafyllopoulos • A. Gebhard • S. Milkus • J. Hohmann • P. Muderlak • J. Schottdorf • R. Musil • B. W. Schuller
Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning.
EMBC 2024 - 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Orlando, FL, USA, Jul 15-19, 2024. DOI

[17]

F. Quinzan • C. Casolo • K. Muandet • Y. Luo • N. Kilbertus
Learning Counterfactually Invariant Predictors.
Transactions on Machine Learning Research. Jul. 2024. URL

[16]

J. Huang • H. Yu • K.-T. Yu • N. Navab • S. Ilic • B. Busam
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[15]

H. Jung • S.-C. Wu • P. Ruhkamp • G. Zhai • H. Schieber • G. Rizzoli • P. Wang • H. Zhao • L. Garattoni • D. Roth • S. Meier • N. Navab • B. Busam
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[14]

C. Reich • O. Hahn • D. Cremers • S. Roth • B. Debnath
A Perspective on Deep Vision Performance with Standard Image and Video Codecs.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[13]

B. Deiseroth • M. Meuer • N. Gritsch • C. Eichenberg • P. Schramowski • M. Aßenmacher • K. Kersting
Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

[12]

P. Resnik • B. Ma • A. Hoyle • P. Goel • R. Sarkar • M. Gearing • A.-C. Haensch • F. Kreuter
TOPCAT: Topic-Oriented Protocol for Content Analysis of Text – A Preliminary Study.
NLP+CSS @NAACL 2024 - 6th Workshop on Natural Language Processing and Computational Social Science at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[11]

K. Lam • B. Lange • B. Blili-Hamelin • J. Davidovic • S. Brown • A. Hasan
A Framework for Assurance Audits of Algorithmic Systems.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

[10]

A. Köksal • S. Severini • H. Schütze
SilverAlign: MT-Based Silver Data Algorithm for Evaluating Word Alignment.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[9]

Y. Velikova • M. F. Azampour • W. Simson • M. Esposito • N. Navab
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound Aorta Screening.
ICRA 2024 - IEEE International Conference on Robotics and Automation. Yokohoma, Japan, May 13-17, 2024. DOI

[8]

L. Haliburton • D. J. Grüning • F. Riedel • A. Schmidt • N. Terzimehić
A Longitudinal In-the-Wild Investigation of Design Frictions to Prevent Smartphone Overuse.
CHI 2024 - ACM CHI Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[7]

A. Karollus • J. Hingerl • D. Gankin • M. Grosshauser • K. Klemon • J. Gagneur
Species-aware DNA language models capture regulatory elements and their evolution.
Genome Biology 35.83. Apr. 2024. DOI

[6]

P. Lin • S. Ji • J. Tiedemann • A. F. T. Martins • H. Schütze
MaLA-500: Massive Language Adaptation of Large Language Models.
Preprint (Apr. 2024). arXiv GitHub

[5]

P. Lin • C. Hu • Z. Zhang • A. Martins • H. Schütze
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
Findings @EACL 2024 - Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[4]

A. Reuter • B. Khadka • A. Thielmann • C. Weisser • S. F. Fischer • B. Säfken
GPTopic: Dynamic and Interactive Topic Representations.
Preprint (Mar. 2024). arXiv GitHub

[3]

P. Gijsbers • M. L. P. Bueno • S. Coors • E. LeDell • S. Poirier • J. Thomas • B. Bischl • J. Vanschoren
AMLB: an AutoML Benchmark.
Journal of Machine Learning Research 25.101. Feb. 2024. URL

[2]

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 • M. J. Menten
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
IEEE Transactions on Medical Imaging 43.6. Jan. 2024. DOI

[1]

E. Faerman • O. Voggenreiter • F. Borutta • T. Emrich • M. Berrendorf • M. Schubert
Graph Alignment Networks with Node Matching Scores.
Graph Representation Learning @NeurIPS 2019 - Workshop on Graph Representation Learning at the 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. PDF

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