2025
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Viering, Tom Julian; Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hvarfner, Carl; Bakshy, Eytan; Hutter, Frank $alpha$-PFN: In-Context Learning Entropy Search Inproceedings In: The Frontiers in Probabilistic Inference: Sampling meets Learning (FPI) at ICLR, 2025. @inproceedings{Viering2025,
title = {$\alpha$-PFN: In-Context Learning Entropy Search},
author = {Tom Julian Viering and Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Carl Hvarfner and Eytan Bakshy and Frank Hutter},
year = {2025},
booktitle = {The Frontiers in Probabilistic Inference: Sampling meets Learning (FPI) at ICLR},
keywords = {}
}
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Hollmann, Noah; Müller, Samuel; Purucker, Lennart; Krishnakumar, Arjun; Körfer, Max; Hoo, Shi Bin; Schirrmeister, Robin Tibor; Hutter, Frank Accurate predictions on small data with a tabular foundation model Journal Article In: Nature, vol. 637, iss. 8045, pp. 319–326, 2025, (Nature). @article{Hollmann2025,
title = {Accurate predictions on small data with a tabular foundation model},
author = {Noah Hollmann and Samuel Müller and Lennart Purucker and Arjun Krishnakumar and Max Körfer and Shi Bin Hoo and Robin Tibor Schirrmeister and Frank Hutter },
year = {2025},
journal = {Nature},
volume = {637},
pages = {319–326},
keywords = {}
}
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2024
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Hoo, Shi Bin; Müller, Samuel; Salinas, David; Hutter, Frank The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features Inproceedings In: NeurIPS 2024 TRL Workshop, 2024. @inproceedings{Hoo2024,
title = {The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features},
author = {Shi Bin Hoo and Samuel Müller and David Salinas and Frank Hutter},
year = {2024},
booktitle = {NeurIPS 2024 TRL Workshop},
keywords = {}
}
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Helli, Kai; Schnurr, David; Hollmann, Noah; Müller, Samuel; Hutter, Frank Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data Inproceedings In: 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. @inproceedings{Helli2024b,
title = {Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data},
author = {Kai Helli and David Schnurr and Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2024},
booktitle = {38th Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
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Helli, Kai; Schnurr, David; Hollmann, Noah; Müller, Samuel; Hutter, Frank Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data Inproceedings In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024. @inproceedings{Helli2024,
title = {Drift-Resilient TabPFN: In-Context Learning Distribution Shifts on Tabular Data},
author = {Kai Helli and David Schnurr and Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2024},
booktitle = {Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track},
keywords = {}
}
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2023
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Hollmann, Noah; Müller, Samuel; Hutter, Frank Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{hollmann2023caafe,
title = {Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering},
author = {Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
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Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{adriaensen2023lcpfn,
title = {Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks},
author = {Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
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Müller, Samuel; Feurer, Matthias; Hollmann, Noah; Hutter, Frank PFNs4BO: In-Context Learning for Bayesian Optimization Inproceedings In: Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023. @inproceedings{sam_at_icml23,
title = {PFNs4BO: In-Context Learning for Bayesian Optimization},
author = {Samuel Müller and Matthias Feurer and Noah Hollmann and Frank Hutter},
year = {2023},
booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML 2023)},
keywords = {}
}
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Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Inproceedings In: The Eleventh International Conference on Learning Representations (ICLR), 2023, ( top-25% of accepted papers ). @inproceedings{hollmann2023tabpfn,
title = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
author = {Noah Hollmann and Samuel Müller and Katharina Eggensperger and Frank Hutter},
year = {2023},
booktitle = {The Eleventh International Conference on Learning Representations (ICLR)},
keywords = {}
}
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Hollmann, Noah; Müller, Samuel; Hutter, Frank LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Inproceedings In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. @inproceedings{<LineBreak>anonymous2023llms,
title = {LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering},
author = {Noah Hollmann and Samuel Müller and Frank Hutter},
year = {2023},
booktitle = {Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)},
keywords = {}
}
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2022
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Wagner, Diane; Ferreira, Fabio; Stoll, Danny; Schirrmeister, Robin Tibor; Müller, Samuel; Hutter, Frank On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning Workshop ICML Pre-training Workshop, 2022. @workshop{ferreira-icml22b,
title = {On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning},
author = {Diane Wagner and Fabio Ferreira and Danny Stoll and Robin Tibor Schirrmeister and Samuel Müller and Frank Hutter},
year = {2022},
booktitle = {ICML Pre-training Workshop},
keywords = {}
}
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Müller, Samuel; Hollmann, Noah; Arango, Sebastian Pineda; Grabocka, Josif; Hutter, Frank Transformers Can Do Bayesian Inference Inproceedings In: 10th International Conference on Learning Representations, ICLR 2022, 2022. @inproceedings{nokey,
title = {Transformers Can Do Bayesian Inference},
author = {Samuel Müller and Noah Hollmann and Sebastian Pineda Arango and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {10th International Conference on Learning Representations, ICLR 2022},
keywords = {}
}
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Müller, Samuel; Arango, Sebastian Pineda; Feurer, Matthias; Grabocka, Josif; Hutter, Frank Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only Workshop Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @workshop{müller2022bayesian,
title = {Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only},
author = {Samuel Müller and Sebastian Pineda Arango and Matthias Feurer and Josif Grabocka and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
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Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{adriaensen2022efficientb,
title = {Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks},
author = {Steven Adriaensen and Herilalaina Rakotoarison and Samuel Müller and Frank Hutter},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
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Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Inproceedings In: NeurIPS 2022 First Table Representation Workshop, 2022. @inproceedings{hollmann2022tabpfn,
title = {TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second},
author = {Noah Hollmann and Samuel Müller and Katharina Eggensperger and Frank Hutter},
year = {2022},
booktitle = {NeurIPS 2022 First Table Representation Workshop},
keywords = {}
}
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2021
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Müller, Samuel; Hutter, Frank TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Inproceedings In: ICCV, 2021, (Oral Presentation (Top 3%)). @inproceedings{mueller-arxiv21a,
title = {TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation},
author = {Samuel Müller and Frank Hutter},
year = {2021},
booktitle = {ICCV},
journal = {arXiv:2103.10158 [cs.CV]},
keywords = {}
}
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Müller, Samuel; Biedenkapp, André; Hutter, Frank In-Loop Meta-Learning with Gradient-Alignment Reward Inproceedings In: AAAI workshop on Meta-Learning Challenges, 2021. @inproceedings{mueller-metalearn21a,
title = {In-Loop Meta-Learning with Gradient-Alignment Reward},
author = {Samuel Müller and André Biedenkapp and Frank Hutter},
year = {2021},
booktitle = {AAAI workshop on Meta-Learning Challenges},
journal = {AAAI workshop on Meta-Learning Challenges},
keywords = {}
}
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