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Our NeurIPS 2025 Publications

Main Track

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

DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Inproceedings Forthcoming

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

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

Learning in Compact Spaces with Approximately Normalized Transformer Inproceedings Forthcoming

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

Arbel, Michael; Salinas, David; Hutter, Frank

EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network Inproceedings Forthcoming

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

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

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

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

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

Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics Inproceedings Forthcoming

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

Datasets & Benchmarks Track

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 Inproceedings Forthcoming

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