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Our ICML 2025 Publications

Main Track

Lee, Dongwoo; Lee, Dong Bok; Adriaensen, Steven; Lee, Juho; Hwang, Sung Ju; Hutter, Frank; Kim, Seon Joo; Lee, Hae Beom

Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks Inproceedings

In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025.

Robertson, Jake; Hollmann, Noah; Müller, Samuel Gabriel; Awad, Noor; Hutter, Frank

FairPFN: A Tabular Foundation Model for Causal Fairness Inproceedings

In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025.

Salinas, David; Swelam, Omar; Hutter, Frank

Tuning LLM Judge Design Decisions for 1/1000 of the Cost Inproceedings

In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025.

Müller, Samuel Gabriel; Reuter, Arik; Hollmann, Noah; Rügamer, David; Hutter, Frank

Position: The Future of Bayesian Prediction Is Prior-Fitted Inproceedings

In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025.

Workshops

Al-zeqri, Mohsen; Franke, Jörg; Runge, Frederic

STRAND: Structure Refinement of RNA-Protein Complexes via Diffusion Inproceedings

In: The 2nd workshop on Generative AI and Biology at ICML, 2025.

Bühler, Magnus; Purucker, Lennart; Hutter, Frank

Towards Synthetic Data for Fine-tuning Tabular Foundation Models Inproceedings

In: Foundation Models for Structured Data workshop at ICML, 2025.

Mráz, Martin; Das, Breenda; Gupta, Anshul; Purucker, Lennart; Hutter, Frank

Towards Benchmarking Foundation Models for Tabular Data With Text Inproceedings

In: Foundation Models for Structured Data workshop at ICML, 2025.

Garg, Anurag; Ali, Muhammad; Hollmann, Noah; Purucker, Lennart; Müller, Samuel; Hutter, Frank

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Inproceedings

In: Foundation Models for Structured Data workshop at ICML, 2025.

Küken, Jaris; Purucker, Lennart; Hutter, Frank

Early Stopping Tabular In-Context Learning Inproceedings

In: Foundation Models for Structured Data workshop at ICML, 2025.

Robertson, Jake; Reuter, Arik; Guo, Siyuan; Hollmann, Noah; Hutter, Frank; Schölkopf, Bernhard

Do-PFN: In-Context Learning for Causal Effect Estimation Inproceedings

In: Foundation Models for Structured Data workshop at ICML, 2025.