22.04.2025
MCML at ICLR 2025
52 Accepted Papers (35 Main, and 17 Workshops)
13th International Conference on Learning Representations, Singapore, Apr 24-28, 2025
We are happy to announce that MCML researchers have contributed a total of 52 papers to ICLR 2025: 35 Main, and 17 Workshop papers. Congrats to our researchers!
Main Track (35 papers)
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
ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
H. Baniecki • G. Casalicchio • B. Bischl • P. Biecek
Efficient and Accurate Explanation Estimation with Distribution Compression.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL GitHub
Efficient and Accurate Explanation Estimation with Distribution Compression.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL GitHub
M. Bini • L. Girrbach • Z. Akata
Decoupling Angles and Strength in Low-rank Adaptation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
Decoupling Angles and Strength in Low-rank Adaptation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
K. Bhatia • F. Köhler • N. Thuerey
PRDP: Progressively Refined Differentiable Physics.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
PRDP: Progressively Refined Differentiable Physics.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Q. Bouniot • P. Mozharovskyi • F. d'Alché-Buc
Tailoring Mixup to Data for Calibration.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Tailoring Mixup to Data for Calibration.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
S. Dahan • G. Bénédict • L. Z. J. Williams • Y. Guo • D. Rückert • R. Leech • E. C. Robinson
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
D. Frauen • K. Heß • S. Feuerriegel
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
A. Findeis • T. Kaufmann • E. Hüllermeier • S. Albanie • R. D. Mullins
Inverse Constitutional AI: Compressing Preferences into Principles.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
Inverse Constitutional AI: Compressing Preferences into Principles.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
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
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
L. Girrbach • Y. Huang • S. Alaniz • T. Darrell • Z. Akata
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs).
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs).
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
K. Heß • S. Feuerriegel
Stabilized Neural Prediction of Potential Outcomes in Continuous Time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Stabilized Neural Prediction of Potential Outcomes in Continuous Time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
D. Herbst • S. Jegelka
Higher-Order Graphon Neural Networks: Approximation and Cut Distance.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL
Higher-Order Graphon Neural Networks: Approximation and Cut Distance.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL
C. Kern • M. P. Kim • A. Zhou
Multi-Accurate CATE is Robust to Unknown Covariate Shifts.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Journal Track. URL URL
Multi-Accurate CATE is Robust to Unknown Covariate Shifts.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Journal Track. URL URL
M. Kollovieh • M. Lienen • D. Lüdke • L. Schwinn • S. Günnemann
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
J. Kaiser • K. Schwethelm • D. Rückert • G. Kaissis
Laplace Sample Information: Data Informativeness Through a Bayesian Lens.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Laplace Sample Information: Data Informativeness Through a Bayesian Lens.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
C. Kolb • T. Weber • B. Bischl • D. Rügamer
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
L. Lux • A. H. Berger • A. Weers • N. Stucki • D. Rückert • U. Bauer • J. C. Paetzold
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
H. Lim • J. Choi • J. Choo • S. Schneider
Sparse autoencoders reveal selective remapping of visual concepts during adaptation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Sparse autoencoders reveal selective remapping of visual concepts during adaptation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Y. Li • D. Rügamer • B. Bischl • M. Rezaei
Calibrating LLMs with Information-Theoretic Evidential Deep Learning.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Calibrating LLMs with Information-Theoretic Evidential Deep Learning.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
R. G. Laiz • T. Schmidt • S. Schneider
Self-supervised contrastive learning performs non-linear system identification.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Self-supervised contrastive learning performs non-linear system identification.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
G. Manten • C. Casolo • E. Ferrucci • S. Mogensen • C. Salvi • N. Kilbertus
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
M. Muschalik • F. Fumagalli • P. Frazzetto • J. Strotherm • L. Hermes • A. Sperduti • E. Hüllermeier • B. Hammer
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
L. Rauchwerger • S. Jegelka • R. Levie
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
P. Scholl • K. Bieker • H. Hauger • G. Kutyniok
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
L. Sang • Z. Canfes • D. Cao • F. Bernard • D. Cremers
Implicit Neural Surface Deformation with Explicit Velocity Fields.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Implicit Neural Surface Deformation with Explicit Velocity Fields.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
M. Sabanayagam • L. Gosch • S. Günnemann • D. Ghoshdastidar
Exact Certification of (Graph) Neural Networks Against Label Poisoning.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL GitHub
Exact Certification of (Graph) Neural Networks Against Label Poisoning.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL GitHub
Y. Shehata • B. Holzschuh • N. Thuerey
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
M. Schröder • V. Melnychuk • S. Feuerriegel
Differentially private learners for heterogeneous treatment effects.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Differentially private learners for heterogeneous treatment effects.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
E. Sommer • J. Robnik • G. Nozadze • U. Seljak • D. Rügamer
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
B. Tahmasebi • S. Jegelka
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
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
Disentangled Representation Learning with the Gromov-Monge Gap.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
X. Wang • C. Hu • P. Röttger • B. Plank
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Y. Wang • M. Schröder • D. Frauen • J. Schweisthal • K. Heß • S. Feuerriegel
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
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
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
Q. Zhang • Y. Wang • J. Cui • X. Pan • Q. Lei • S. Jegelka • Y. Wang
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Workshops (17 papers)
C. Bülte • S. Maskey • P. Scholl • J. von Berg • G. Kutyniok
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
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
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
S. Dziadzio • V. Udandarao • K. Roth • A. Prabhu • Z. Akata • S. Albanie • M. Bethge
How to Merge Multimodal Models Over Time?
MCDC @ICLR 2025 - Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
How to Merge Multimodal Models Over Time?
MCDC @ICLR 2025 - Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
K. Forster • V. Wagner • L. Keil • M. A. Müller • T. Sellhorn • S. Feuerriegel
Tracking ESG Disclosures of European Companies with Retrieval-Augmented Generation.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Tracking ESG Disclosures of European Companies with Retrieval-Augmented Generation.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
C. Kolb • B. Bischl • D. Rügamer
Differentiable Attention Sparsity via Structured D-Gating.
SLLM @ICLR 2025 - Workshop on Sparsity in LLMs at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Differentiable Attention Sparsity via Structured D-Gating.
SLLM @ICLR 2025 - Workshop on Sparsity in LLMs at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
J. Kobialka • E. Sommer • J. Kwon • D. Dold • D. Rügamer
Approximate Posteriors in Neural Networks: A Sampling Perspective.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL
Approximate Posteriors in Neural Networks: A Sampling Perspective.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL
C. Koke • Y. Shen • A. Saroha • M. Eisenberger • B. Rieck • M. M. Bronstein • D. Cremers
Graph Networks struggle with variable Scale.
ICBINB @ICLR 2025 - Workshop I Can’t Believe It’s Not Better: Challenges in Applied Deep Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Graph Networks struggle with variable Scale.
ICBINB @ICLR 2025 - Workshop I Can’t Believe It’s Not Better: Challenges in Applied Deep Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
C. Koke • Y. Shen • A. Saroha • M. Eisenberger • B. Rieck • M. M. Bronstein • D. Cremers
On Incorporating Scale into Graph Networks.
MLMP @ICLR 2025 - Workshop on Machine Learning Multiscale Processes at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Best Paper Award. URL
On Incorporating Scale into Graph Networks.
MLMP @ICLR 2025 - Workshop on Machine Learning Multiscale Processes at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Best Paper Award. URL
C. Koke • D. Schnaus • Y. Shen • A. Saroha • M. Eisenberger • B. Rieck • M. M. Bronstein • D. Cremers
On multi-scale Graph Representation Learning.
LMRL @ICLR 2025 - Workshop on Learning Meaningful Representations of Life at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
On multi-scale Graph Representation Learning.
LMRL @ICLR 2025 - Workshop on Learning Meaningful Representations of Life at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Z. Li • S. Yan • Y. Ma • Y. Li • X. Lyu • M. Schubert
Beyond Single-Step: Multi-Frame Action-Conditiones Video Generation for Reinforcement Learning Environments.
World Models @ICLR 2025 - Workshop on World Models: Understanding, Modelling and Scaling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Beyond Single-Step: Multi-Frame Action-Conditiones Video Generation for Reinforcement Learning Environments.
World Models @ICLR 2025 - Workshop on World Models: Understanding, Modelling and Scaling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
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
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
L. Meynent • I. Melev • K. Schürholt • G. Kauermann • D. Borth
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction.
Weight Space Learning @ICLR 2025 - Workshop on Weight Space Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction.
Weight Space Learning @ICLR 2025 - Workshop on Weight Space Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL
T. Nagler • D. Rügamer
Uncertainty Quantification for Prior-Fitted Networks using Martingale Posteriors.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL
Uncertainty Quantification for Prior-Fitted Networks using Martingale Posteriors.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL
A. Reuter • T. G. J. Rudner • V. Fortuin • D. Rügamer
Can Transformers Learn Full Bayesian Inference in Context?
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL
Can Transformers Learn Full Bayesian Inference in Context?
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL
A. Reuter • T. G. J. Rudner • V. Fortuin • D. Rügamer
Can Transformers Learn Full Bayesian Inference in Context?
SynthData @ICLR 2025 - Workshop SynthData: Will Synthetic Data Finally Solve the Data Access Problem? at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Can Transformers Learn Full Bayesian Inference in Context?
SynthData @ICLR 2025 - Workshop SynthData: Will Synthetic Data Finally Solve the Data Access Problem? at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
D. Rundel • E. Sommer • B. Bischl • D. Rügamer • M. Feurer
Efficiently Warmstarting MCMC for BNNs.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Efficiently Warmstarting MCMC for BNNs.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
L. Wimmer • B. Bischl • L. Bothmann
Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning.
SCSL @ICLR 2025 - Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning.
SCSL @ICLR 2025 - Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
#research #top-tier-work #akata #bauer-u #bischl #cremers #feuerriegel #feurer #fortuin #guennemann #huellermeier #jegelka #kaissis #kauermann #kern #kilbertus #kutyniok #menten #nagler #ommer #plank #rueckert #ruegamer #schneider #schubert #schuetze #theis #thuerey #tresp #wang-xi
Related
20.11.2025
Zigzag Your Way to Faster, Smarter AI Image Generation
ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.
13.11.2025
Anne-Laure Boulesteix Among the World’s Most Cited Researchers
MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.
13.11.2025
Björn Ommer Featured in Frankfurter Rundschau
Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.
13.11.2025
Fabian Theis Among the World’s Most Cited Researchers
Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.
