Siems, Julien; Carstensen, Timur; Zela, Arber; Hutter, Frank; Pontil, Massimiliano; Grazzi, Riccardo

DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Proceedings Article

In: 39th Conference on Neural Information Processing Systems (NeurIPS), 2025.

Franke, Jörg K. H.; Spiegelhalter, Urs; Nezhurina, Marianna; Jitsev, Jenia; Hutter, Frank; Hefenbrock, Michael

Learning in Compact Spaces with Approximately Normalized Transformer Proceedings Article

In: 39th Conference on Neural Information Processing Systems (NeurIPS), 2025.

Arbel, Michael; Salinas, David; Hutter, Frank

EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network Proceedings Article

In: 39th Conference on Neural Information Processing Systems (NeurIPS), 2025.

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

Do-PFN: In-Context Learning for Causal Effect Estimation Proceedings Article

In: 39th Conference on Neural Information Processing Systems (NeurIPS), 2025, (Spotlight).

Das, Indrashis; Safari, Mahmoud; Adriaensen, Steven; Hutter, Frank

Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics Proceedings Article

In: 39th Conference on Neural Information Processing Systems (NeurIPS), 2025.

Lee, Dong Bok; Zhang, Aoxuan Silvia; Kim, Byungjoo; Park, Junhyeon; Adriaensen, Steven; Lee, Juho; Hwang, Sung Ju; Lee, Hae Beom

Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning Proceedings Article

In: 39th Conference on Neural Information Processing Systems (NeurIPS), 2025.

Erickson, Nick; Purucker, Lennart; Tschalzev, Andrej; Holzmüller, David; Desai, Prateek Mutalik; Salinas, David; Hutter, Frank

TabArena: A Living Benchmark for Machine Learning on Tabular Data Proceedings Article

In: NeurIPS 2025 Datasets and Benchmarks Track , 2025, (Spotlight).

Pfefferle, Alexander; Hog, Johannes; Purucker, Lennart; Hutter, Frank

nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN Proceedings Article

In: EurIPS 2025 Workshop: AI for Tabular Data, 2025.

Spiegelhalter, Urs; Franke, Jörg K. H.; Hutter, Frank

Balancing Synthetic Data and Replay for Enhancing Task-Specific Capabilities Proceedings Article Forthcoming

In: NeurIPS 2025 Workshop on Continual and Compatible Foundation Model Updates, Forthcoming.

Abed, Amal; Lukic, Ivan; Franke, Jörg K. H.; Hutter, Frank

Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks Proceedings Article Forthcoming

In: NeurIPS 2025 Fourth Workshop on Deep Learning for Code, Forthcoming.

Otte, David; Franke, Jörg K. H.; Hutter, Frank

Towards Scaling Laws for Symbolic Regression Proceedings Article Forthcoming

In: The 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025, Forthcoming.

Jehle, Dominik; Purucker, Lennart; Hutter, Frank

Agentic NL2SQL to Reduce Computational Costs Proceedings Article

In: NeurIPS 2025 Workshop on Efficient Reasoning, 2025.

Bühler, Magnus; Purucker, Lennart; Hutter, Frank

Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models Proceedings Article

In: EurIPS 2025 Workshop: AI for Tabular Data, 2025.

Ma, Junwei; Shaheen, Nour; Labach, Alex; Mhedhbi, Amine; Hutter, Frank; Caterini, Anthony L.; Thomas, Valentin

Generalization Can Emerge in Tabular Foundation Models From a Single Table Proceedings Article Forthcoming

In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming.

Swelam, Omar; Purucker, Lennart; Robertson, Jake; Raum, Hanne; Boedecker, Joschka; Hutter, Frank

Does TabPFN Understand Causal Structures? Proceedings Article

In: EurIPS 2025 Workshop: AI for Tabular Data, 2025.

Moroshan, Vladyslav; Siems, Julien; Zela, Arber; Carstensen, Timur; Hutter, Frank

TempoPFN: Towards Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting Proceedings Article Forthcoming

In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming.

Otte, David; Franke, Jörg K. H.; Hutter, Frank

Towards Scaling Laws for Symbolic Regression Proceedings Article

In: EurIPS 2025 Workshop: AI for Tabular Data, 2025.