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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.

Siemens AG

Technology Group
Munich, Germany
64 Publications

[64]

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 67.3. Mar. 2026. DOI

[63]

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

[62]

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

[61]

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

[60]

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

[59]

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

[58]

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

[57]

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

[56]

Y. Sun • M. Hagog • M. Weber • D. Hein • S. Udluft • Y. Ma • V. Tresp
Learning Control with Simulated Variational Quantum Policies in a Surrogate Cart-Pole Environment.
QCE 2025 - IEEE International Conference on Quantum Computing and Engineering. Albuquerque, NM, USA, Aug 31-Sep 05, 2025. DOI

[55]

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

[54]

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

[53]

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

[52]

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

[51]

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

[50]

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

[49]

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

[48]

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

[47]

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

[46]

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

[45]

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

[44]

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

[43]

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

[42]

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

[41]

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

[40]

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

[39]

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

[38]

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

[37]

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

[36]

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

[35]

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

[34]

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

[33]

S. Chen • J. Gu • Z. Han • Y. Ma • P. Torr • V. Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL GitHub

[32]

R. Liao • X. Jia • Y. Ma • V. Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph.
TGL 2023 @NeurIPS 2023 - Workshop Temporal Graph Learning at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[31]

A. Koebler • T. Decker • M. Lebacher • I. Thon • V. Tresp • F. Buettner
Towards Explanatory Model Monitoring.
XAIA 2023 @NeurIPS 2023 - Workshop XAI in Action: Past, Present, and Future Applications at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[30]

Z. Ding • Z. Li • R. Qi • J. Wu • B. He • Y. Ma • Z. Meng • S. Chen • R. Liao • Z. Han • V. Tresp
FORECASTTKGQUESTIONS: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs.
ISWC 2023 - 22nd International Semantic Web Conference. Athens, Greeke, Nov 06-11, 2023. DOI

[29]

H. Chen • A. Frikha • D. Krompass • J. Gu • V. Tresp
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[28]

H. Li • J. Gu • R. Koner • S. Sharifzadeh • V. Tresp
Do DALL-E and Flamingo Understand Each Other?
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI GitHub

[27]

Y. Shen • R. Liao • Z. Han • Y. Ma • V. Tresp
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models.
Preprint (Oct. 2023). arXiv

[26]

Z. Ding • J. Wu • Z. Li • Y. Ma • V. Tresp
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI GitHub

[25]

S. Gilhuber • J. Busch • D. Rotthues • C. M. M. Frey • T. Seidl
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[24]

Z. Liu • Y. Ma • H. Li • M. Hildebrandt • Y. Ouyang • Z. Xiong
Debiased Contrastive Loss for Collaborative Filtering.
KSEM 2024 - 16th International Conference Knowledge Science, Engineering and Management. Guangzhou, China, Aug 16-18, 2023. DOI

[23]

Z. Han • R. Liao • J. Gu • Y. Zhang • Z. Ding • Y. Gu • H. Köppl • H. Schütze • V. Tresp
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[22]

S. Kaminwar • J. Goschenhofer • J. Thomas • I. Thon • B. Bischl
Structured Verification of Machine Learning Models in Industrial Settings.
Big Data 11.3. Jun. 2023. DOI

[21]

M. Ali • M. Berrendorf • C. T. Hoyt • L. Vermue • M. Galkin • S. Sharifzadeh • A. Fischer • V. Tresp • J. Lehmann
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models under a Unified Framework.
IEEE Transactions on Pattern Analysis and Machine Intelligence 44.12. Dec. 2022. DOI GitHub

[20]

Z. Ding • Z. Li • R. Qi • J. Wu • B. He • Y. Ma • Z. Meng • S. Chen • R. Liao • Z. Han • V. Tresp
Forecasting Question Answering over Temporal Knowledge Graphs.
Preprint (Aug. 2022). arXiv

[19]

M. Ali • M. Berrendorf • M. Galkin • V. Thost • T. Ma • V. Tresp • J. Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).
IJCAI-ECAI 2022 - Best paper track at the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence. Vienna, Austria, Jul 23-29, 2022. DOI

[18]

H. Li • Q. Khan • V. Tresp • D. Cremers
Biologically Inspired Neural Path Finding.
BI 2022 - 15th International Conference on Brain Informatics. Padova, Italy, Jul 15-15, 2022. DOI GitHub

[17]

Z. Liu • Y. Ma • M. Hildebrandt • Y. Ouyang • Z. Xiong
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.
Knowledge and Information Systems 64. Jul. 2022. DOI

[16]

G. Fu • Z. Meng • Z. Han • Z. Ding • Y. Ma • M. Schubert • V. Tresp • R. Wattenhofer
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion.
SPNLP @ACL 2022 - 6th ACL Workshop on Structured Prediction for NLP at the 60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland, May 22-27, 2022. DOI

[15]

C. T. Hoyt • M. Berrendorf • M. Gaklin • V. Tresp • B. M. Gyori
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs.
GLB @WWW 2022 - Workshop on Graph Learning Benchmarks at the International World Wide Web Conference. Virtual, Apr 22-29, 2022. arXiv

[14]

Y. Liu • Y. Ma • M. Hildebrandt • M. Joblin • V. Tresp
TLogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI

[13]

S. Sharifzadeh • S. M. Baharlou • M. Schmitt • H. Schütze • V. Tresp
Improving Scene Graph Classification by Exploiting Knowledge from Texts.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI

[12]

M. Ali • M. Berrendorf • M. Galkin • V. Thost • T. Ma • V. Tresp • J. Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts.
ISWC 2021 - 20th International Semantic Web Conference. Virtual, Oct 24-28, 2021. Best Paper Award. DOI GitHub

[11]

C. Tomani • S. Gruber • M. E. Erdem • D. Cremers • F. Buettner
Post-hoc Uncertainty Calibration for Domain Drift Scenarios.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI

[10]

Y. Ma • V. Tresp
Causal Inference under Networked Interference and Intervention Policy Enhancement.
AISTATS 2021 - 24th International Conference on Artificial Intelligence and Statistics. Virtual, Apr 13-15, 2021. URL

[9]

M. Berrendorf • E. Faerman • V. Tresp
Active Learning for Entity Alignment.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub

[8]

M. Ali • M. Berrendorf • C. T. Hoyt • L. Vermue • S. Sharifzadeh • V. Tresp • J. Lehmann
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings.
Journal of Machine Learning Research 22.82. Mar. 2021. PDF

[7]

S. Sharifzadeh • S. M. Baharlou • V. Tresp
Classification by Attention: Scene Graph Classification with Prior Knowledge.
AAAI 2021 - 35th Conference on Artificial Intelligence. Virtual, Feb 02-09, 2021. DOI

[6]

M. Berrendorf • E. Faerman • L. Vermue • V. Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank.
WI-IAT 2020 - IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. Virtual, Dec 14-17, 2020. DOI

[5]

Y. Ma • Z. Han • V. Tresp
Learning with Temporal Knowledge Graphs.
Workshop @CIKM 2020 - Workshop at the 29th ACM International Conference on Information and Knowledge Management. Galway, Ireland, Oct 19-23, 2020. Invited talk. PDF

[4]

M. Berrendorf • E. Faerman • V. Tresp
Active Learning for Entity Alignment.
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. arXiv

[3]

M. Berrendorf • E. Faerman • L. Vermue • V. Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank (Extended Abstract).
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. Full paper at WI-AT 2020. DOI

[2]

M. Berrendorf • E. Faerman • V. Melnychuk • V. Tresp • T. Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
ECIR 2020 - 42nd European Conference on Information Retrieval. Virtual, Apr 14-17, 2020. 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

Google

Technology Group
Partnersites Germany, Europe, Canada & USA
47 Publications

[47]

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

[46]

S. B. Laina • S. Boche • S. Papatheodorou • S. Schaefer • J. Jung • S. Leutenegger
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment.
Preprint (Feb. 2026). arXiv

[45]

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

[44]

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

[43]

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

[42]

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

[41]

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

[40]

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

[39]

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

[38]

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

[37]

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

[36]

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

[35]

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

[34]

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

[33]

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

[32]

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

[31]

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

[30]

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

[29]

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

[28]

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

[27]

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

[26]

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

[25]

Y. Li • Q. Sun • S. M. K. Murthy • E. Alturki • B. W. Schuller
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Y. Shen • Z. Zhuang • K. Yuan • M.-I. Nicolae • N. Navab • N. Padoy • M. Fritz
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M. Bini • K. Roth • Z. Akata • A. Khoreva
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ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL GitHub

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Microsoft

Technology Group
Partnersites Germany, Europe, Asia, Canada & USA
19 Publications

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Z. Cai • W. Hua • K. Li • Y. Ma • E. Nie • H. Schütze • K. Stanczak • M. E. Taylor
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R. Huang • G. Zhai • Z. Bauer • M. Pollefeys • F. Tombari • L. Guibas • G. Huang • F. Engelmann
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O. Kuzyk • Z. Li • M. Pollefeys • X. Wang
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ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv

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A. Modarressi • A. Köksal • A. Imani • M. Fayyaz • H. Schütze
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory.
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Y.-J. Li • M. Gladkova • Y. Xia • R. Wang • D. Cremers
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M. Kollovieh • B. Charpentier • D. Zügner • S. Günnemann
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NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

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ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

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Y. Xia • M. Gladkova • R. Wang • Q. Li • U. Stilla • J. F. Henriques • D. Cremers
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A. Chronopoulou • D. Stojanovski • A. Fraser
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F. Pfisterer • J. N. van Rijn • P. Probst • A. C. Müller • B. Bischl
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GECCO 2021 - Genetic and Evolutionary Computation Conference. Lile, France, Jul 10-14, 2021. DOI

Huawei

Technology Group
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15 Publications

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Y. Bai • L. Yang • G. Eskandar • F. Shen • M. Altillawi • Z. Liu • G. Kutyniok
DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos.
ICRA 2026 - IEEE International Conference on Robotics and Automation. Vienna, Austria, Jun 01-05, 2026. To be published. Preprint available. arXiv

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L. Yang • Y. Bai • G. Eskandar • F. Shen • M. Altillawi • D. Chen • Z. Liu • A. Valada
CoVAR: Co-generation of Video and Action for Robotic Manipulation via Multi-Modal Diffusion.
ICRA 2026 - IEEE International Conference on Robotics and Automation. Vienna, Austria, Jun 01-05, 2026. To be published. Preprint available. arXiv

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X. Jing • J. Wang • A. Triantafyllopoulos • M. Gerczuk • S. Amiriparian • J. Luo • B. W. Schuller
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ICLR 2026 Workshop on Memory for LLM-Based Agentic Systems (MemAgents).
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H. Luo • Q. Cheng • D. Matos • H. K. Gadi • Y. Zhang • L. Liu • Y. Wang • N. Zeller • D. Cremers • L. Meng
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EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

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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

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CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

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S. Wang • Q. Cheng • Q. Cheng • W. Zhang • S.-C. Wu • N. Zeller • D. Cremers • N. Navab
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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
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M. Milling • S. Liu • A. Triantafyllopoulos • I. Aslan • B. W. Schuller
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L. Christ • S. Amiriparian • M. Milling • I. Aslan • B. W. Schuller
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning.
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M. Zhao • F. Mi • Y. Wang • M. Li • X. Jiang • Q. Liu • H. Schütze
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework.
Findings @NAACL 2022 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, WA, USA, Jun 10-15, 2022. DOI

NVIDIA

Technology Group
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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

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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

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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

[12]

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.
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[11]

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.
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[10]

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

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N. P. A. Vu • A. Saroha • O. Litany • D. Cremers
GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields.
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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

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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

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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

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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

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Y. Yeganeh • A. Farshad • P. Weinberger • S.-A. Ahmadi • E. Adeli • N. Navab
Transformers pay attention to convolutions leveraging emerging properties of vits by dual attention-image network.
Workshop @ICCV 2023 - Workshop at the IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

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M. Eisenberger • A. Toker • L. Leal-Taixé • D. Cremers
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI GitHub

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Y. Yeganeh • A. Farshad • P. Weinberger • S.-A. Ahmadi • E. Adeli • N. Navab
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation.
Preprint (Apr. 2023). arXiv

Amazon

Technology Group
Partnersites Germany & USA
10 Publications

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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

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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

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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.
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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

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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

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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

[2]

Y. Shen • R. Liao • Z. Han • Y. Ma • V. Tresp
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models.
Preprint (Oct. 2023). arXiv

[1]

DeepScenario

Autonomous Driving Startup
Stuttgart, Germany
9 Publications

[9]

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

[8]

[7]

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

[6]

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

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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

[4]

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

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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

[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

BMW Group

Automotive Group
Munich, Germany
8 Publications

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

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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

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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

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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

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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

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S. Haas • E. Hüllermeier
Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

Apple

Technology Group
Partnersites Germany, Europe & USA
7 Publications

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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

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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

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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

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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

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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

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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

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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

Unbabel

Language AI Company
Lisbon, Portugal
7 Publications

[7]

A. Bavaresco • R. Bernardi • L. Bertolazzi • D. Elliott • R. Fernández • A. Gatt • E. Ghaleb • M. Giulianelli • M. Hanna • A. Koller • A. F. T. Martins • P. Mondorf • V. Neplenbroek • S. Pezzelle • B. Plank • D. Schlangen • A. Suglia • A. K. Surikuchi • E. Takmaz • A. Testoni
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[6]

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

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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

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R. Amoroso • G. Zhang • R. Koner • L. Baraldi • R. Cucchiara • V. Tresp
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI

[3]

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

[2]

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

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A. Imani • P. Lin • A. H. Kargaran • S. Severini • M. J. Sabet • N. Kassner • C. Ma • H. Schmid • A. Martins • F. Yvon • H. Schütze
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages.
ACL 2023 - 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI GitHub

Visualais

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.
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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]

Roche

Pharmaceutical & Life Science Company
Partnersites Germany, Europe & USA
5 Publications

[5]

S. S. Boushehri • S. Kazeminia • A. Gruber • C. Matek • K. Spiekermann • C. Pohlkamp • T. Haferlach • C. Marr
A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics.
Scientific Data 12.1773. Nov. 2025. DOI

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E. M. A. Slob • A. Faiz • J. van Nijnatten • S. J. H. Vijverberg • C. Longo • M. Kutlu • F. T. Chew • Y. Y. Sio • E. Herrera-Luis • A. Espuela-Ortiz • J. Perez-Garcia • M. Pino-Yanes • E. G. Burchard • U. Potočnik • M. Gorenjak • C. Palmer • C. Maroteau • S. Turner • K. Verhamme • L. Karimi • S. Mukhopadhyay • W. Timens • P. S. Hiemstra • M. W. Pijnenburg • M. Neighbors • M. A. Grimbaldeston • G. W. Tew • C. A. Brandsma • V. Berce • H. Aliee • F. J. Theis • D. D. Sin • X. Li • M. van den Berge • A. H. Zee • G. H. Koppelman
Association of bronchial steroid inducible methylation quantitative trait loci with asthma and chronic obstructive pulmonary disease treatment response.
Clinical and Translational Allergy 12.8. Aug. 2022. DOI

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N.-K. Chlis • A. Karlas • N.-A. Fasoula • M. Kallmayer • H.-H. Eckstein • F. J. Theis • V. Ntziachristos • C. Marr
A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography.
Photoacoustics 20.100203. Dec. 2020. DOI

[2]

N.-K. Chlis • L. Rausch • T. Brocker • J. Kranich • F. J. Theis
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Nucleic Acids Research 48.20. Nov. 2020. DOI

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J. Kranich • N.-K. Chlis • L. Rausch • A. Latha • M. Schifferer • T. Kurz • A. F.-A. Kia • M. Simons • F. J. Theis • T. Brocker
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.
Journal of Extracellular Vesicles 9.1. Jul. 2020. DOI

XYZ Robotics

Robotics Company
Partnersites Germany, China, Japan & USA
5 Publications

[5]

J. Huang • S. R. Vutukur • P. K. Yu • N. Navab • S. Ilic • B. Busam
RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[4]

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

[3]

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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

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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

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152 Publications

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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.
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Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects.
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[150]

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

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Beyond the final layer: Attentive multilayer fusion for vision transformers.
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J.-M. Diederen • H. Rauhut • U. Terstiege
Convergence of gradient flow for learning convolutional neural networks.
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[147]

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

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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

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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

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M. Bini • O. Bohdal • U. Michieli • Z. Akata • M. Ozay • T. Ceritli
MemLoRA: Distilling Expert Adapters for On-Device Memory Systems.
Preprint (Dec. 2025). arXiv

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

[141]

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.
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A. Ramazzina • T. Haab • D. Fitzek • S. Gasperini • J. Uhrig • M. Bijelic
Reasoning with Fewer Eyes: Efficient Visual Token Withdrawal for Multimodal Reasoning.
ER @NeurIPS 2025 - Workshop on Efficient Reasoning at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL

[138]

Y. Shen • W. Lai • S. Wang • X. Zhang • K. Luo • A. Fraser • M. Sun
DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. URL

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H. Amad • Z. Qian • D. Frauen • J. Piskorz • S. Feuerriegel • M. van der Schaar
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL

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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

[134]

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

[133]

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

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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

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K. Flöge • S. Udayakumar • J. Sommer • M. Piraud • S. Kesselheim • V. Fortuin • S. Günneman • K. J. van der Weg • H. Gohlke • E. Merdivan • A. Bazarova
OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders.
PLOS Computational Biology 21.11. Nov. 2025. DOI

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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

[129]

D. Herbst • L. Karbevska • D. Kumar • A. Ahuja • F. G. Nasrabadi • F. Frasca
Lost in Serialization: Invariance and Generalization of LLM Graph Reasoners.
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[128]

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

[127]

H. Y. Kim • J. Li • A. B. Solana • C. M. Pirkl • B. Wiestler • J. A. Schnabel • C. I. Bercea
Learning to reason about rare diseases through retrieval-augmented agents.
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Z. Shumaylov • P. Zaika • P. Scholl • G. Kutyniok • L. Horesh • C.-B. Schönlieb
When is a System Discoverable from Data? Discovery Requires Chaos.
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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

[124]

V. B. Yesilkaynak • V. G. Duque • M. Wysocki • M. F. Azampour • N. Navab • D. Mateus
UltraNBA Neural Bundle Adjustment for Pose Refinement in 3D Freehand Ultrasound.
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NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

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ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

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LSD 2023 - CLASP Conference on Learning with Small Data. Gothenburg, Sweden, Sep 11-12, 2023. URL

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