Main Track
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Inproceedings Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. |
Learning in Compact Spaces with Approximately Normalized Transformer Inproceedings Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. |
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network Inproceedings Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. |
Do-PFN: In-Context Learning for Causal Effect Estimation Inproceedings Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming, (Spotlight). |
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics Inproceedings Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. |
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning Inproceedings Forthcoming In: 39th Conference on Neural Information Processing Systems (NeurIPS), Forthcoming. |
Datasets & Benchmarks Track
TabArena: A Living Benchmark for Machine Learning on Tabular Data Inproceedings Forthcoming In: NeurIPS 2025 Datasets and Benchmarks Track , Forthcoming, (Spotlight). |
Workshops
nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN Workshop 2025. |
Balancing Synthetic Data and Replay for Enhancing Task-Specific Capabilities Inproceedings Forthcoming In: NeurIPS 2025 Workshop on Continual and Compatible Foundation Model Updates, Forthcoming. |
Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks Inproceedings Forthcoming In: NeurIPS 2025 Fourth Workshop on Deep Learning for Code, Forthcoming. |
Towards Scaling Laws for Symbolic Regression Inproceedings Forthcoming In: The 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025, Forthcoming. |
Agentic NL2SQL to Reduce Computational Costs Inproceedings Forthcoming In: NeurIPS 2025 Workshop on Efficient Reasoning, Forthcoming. |
TabPFN-2.5: a Preview Inproceedings Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. |
Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models Inproceedings Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. |
Generalization Can Emerge in Tabular Foundation Models From a Single Table Inproceedings Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. |
Does TabPFN Understand Causal Structures? Inproceedings Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. |
TempoPFN: Towards Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting Inproceedings Forthcoming In: EurIPS 2025 Workshop: AI for Tabular Data, Forthcoming. |