11.07.2025
MCML at ICML 2025
27 Accepted Papers (21 Main, and 6 Workshops)
42nd International Conference on Machine Learning, Vancouver, Canada, Jul 13-19, 2025
We are happy to announce that MCML researchers have contributed a total of 27 papers to ICML 2025: 21 Main, and 6 Workshop papers. Congrats to our researchers!
Main Track (21 papers)
W. Durani • T. Nitzl • C. Plant • C. Böhm
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
X. Feng • Z. Jiang • T. Kaufmann • E. Hüllermeier • P. Weng • Y. Zhu
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
U. Fischer Abaigar • C. Kern • J. Perdomo
The Value of Prediction in Identifying the Worst-Off.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Spotlight Presentation. Outstanding Paper Award. URL
The Value of Prediction in Identifying the Worst-Off.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Spotlight Presentation. Outstanding Paper Award. URL
P. Fatemi • E. Sharifian • M. H. Yassaee
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
L. Götz • M. Kollovieh • S. Günnemann • L. Schwinn
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
S. Karnik • A. Veselovska • M. Iwen • F. Krahmer
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
W. Lai • A. Fraser • I. Titov
Joint Localization and Activation Editing for Low-Resource Fine-Tuning.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Joint Localization and Activation Editing for Low-Resource Fine-Tuning.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
M. Lienen • A. Saydemir • S. Günnemann
UnHiPPO: Uncertainty-aware Initialization for State Space Models.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
UnHiPPO: Uncertainty-aware Initialization for State Space Models.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
A. Modarressi • H. Deilamsalehy • F. Dernoncourt • T. Bui • R. A. Rossi • S. Yoon • H. Schütze
NoLiMa: Long-Context Evaluation Beyond Literal Matching.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL URL
NoLiMa: Long-Context Evaluation Beyond Literal Matching.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL URL
S. Müller • A. Reuter • N. Hollmann • D. Rügamer • F. Hutter
Position: The Future of Bayesian Prediction Is Prior-Fitted.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Position: The Future of Bayesian Prediction Is Prior-Fitted.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
D. A. Nguyen • E. Araya • A. Fono • G. Kutyniok
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
T. Pielok • B. Bischl • D. Rügamer
Revisiting Unbiased Implicit Variational Inference.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Revisiting Unbiased Implicit Variational Inference.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
A. Reuter • T. G. J. Rudner • V. Fortuin • D. Rügamer
Can Transformers Learn Full Bayesian Inference in Context?
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Can Transformers Learn Full Bayesian Inference in Context?
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
J. Schweisthal • D. Frauen • M. Schröder • K. Heß • N. Kilbertus • S. Feuerriegel
Learning Representations of Instruments for Partial Identification of Treatment Effects.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Learning Representations of Instruments for Partial Identification of Treatment Effects.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
N. Schneider • L. Lorch • N. Kilbertus • B. Schölkopf • A. Krause
Generative Intervention Models for Causal Perturbation Modeling.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Generative Intervention Models for Causal Perturbation Modeling.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
R. Schulte • D. Rügamer • T. Nagler
Adjustment for Confounding using Pre-Trained Representations.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Adjustment for Confounding using Pre-Trained Representations.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
A. Soleymani • B. Tahmasebi • S. Jegelka • P. Jaillet
Learning with Exact Invariances in Polynomial Time.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Learning with Exact Invariances in Polynomial Time.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
D. Tramontano • Y. Kivva • S. Salehkaleybar • N. Kiyavash • M. Drton
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
L. Thede • K. Roth • M. Bethge • Z. Akata • T. Hartvigsen
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
A. Uselis • A. Dittadi • S. J. Oh
Does Data Scaling Lead to Visual Compositional Generalization?
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL GitHub
Does Data Scaling Lead to Visual Compositional Generalization?
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL GitHub
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
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
Workshops (6 papers)
J. von Berg • A. Fono • M. Datres • S. Maskey • G. Kutyniok
The Price of Robustness: Stable Classifiers Need Overparameterization.
HiLD @ICML 2025 - Workshop on High-dimensional Learning Dynamics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
The Price of Robustness: Stable Classifiers Need Overparameterization.
HiLD @ICML 2025 - Workshop on High-dimensional Learning Dynamics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
F. Kreuter
Adaptive Alignment: Designing AI for a Changing World - Frauke Kreuter.
Invited Talk @ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Invited Talk. URL
Adaptive Alignment: Designing AI for a Changing World - Frauke Kreuter.
Invited Talk @ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Invited Talk. URL
F. Kiwitt • B. Tahmasebi • S. Jegelka
Symmetries in Weight Space Learning: To Retain or Remove?
HiLD @ICML 2025 - Workshop on High-dimensional Learning Dynamics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Symmetries in Weight Space Learning: To Retain or Remove?
HiLD @ICML 2025 - Workshop on High-dimensional Learning Dynamics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Z. Li • X. Han • Y. Li • N. Strauß • M. Schubert
DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions.
WM @ICML 2025 - Workshop on Building Physically Plausible World Models at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. arXiv
DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions.
WM @ICML 2025 - Workshop on Building Physically Plausible World Models at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. arXiv
P. Spohn • L. Girrbach • J. Bader • Z. Akata
Align-then-Unlearn: Embedding Alignment for LLM Unlearning.
MUGen @ICML 2025 - Workshop on Machine Unlearning for Generative AI at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
Align-then-Unlearn: Embedding Alignment for LLM Unlearning.
MUGen @ICML 2025 - Workshop on Machine Unlearning for Generative AI at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL
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
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
Related
27.10.2026
Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench
Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.
27.10.2026
Welcoming Ewa Szczurek to MCML
Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.
26.10.2026
Best Paper Award at AIES 2026 for Work on Algorithmic Contestability
MCML Junior Member Timo Freiesleben received the Best Paper Award at AIES 2026 for his work on algorithmic contestability.
