Frank Hutter
Albert-Ludwigs-Universität Freiburg
H-index: 82
Europe-Germany
Top articles of Frank Hutter
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Is Mamba Capable of In-Context Learning? | arXiv preprint arXiv:2402.03170 | Riccardo Grazzi Julien Siems Simon Schrodi Thomas Brox Frank Hutter | 2024/2/5 |
Large language models for automated data science: Introducing caafe for context-aware automated feature engineering | Advances in Neural Information Processing Systems | Noah Hollmann Samuel Müller Frank Hutter | 2024/2/13 |
Multi-objective Differentiable Neural Architecture Search | arXiv preprint arXiv:2402.18213 | Rhea Sanjay Sukthanker Arber Zela Benedikt Staffler Samuel Dooley Josif Grabocka | 2024/2/28 |
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning | Ravin Kohli Matthias Feurer Katharina Eggensperger Bernd Bischl Frank Hutter | 2024 | |
Rethinking bias mitigation: Fairer architectures make for fairer face recognition | Advances in Neural Information Processing Systems | Samuel Dooley Rhea Sukthanker John Dickerson Colin White Frank Hutter | 2024/2/13 |
Diffusion-based Neural Network Weights Generation | arXiv preprint arXiv:2402.18153 | Bedionita Soro Bruno Andreis Hayeon Lee Song Chong Frank Hutter | 2024/2/28 |
Priorband: Practical hyperparameter optimization in the age of deep learning | Advances in Neural Information Processing Systems | Neeratyoy Mallik Edward Bergman Carl Hvarfner Danny Stoll Maciej Janowski | 2024/2/13 |
RNAformer: A Simple Yet Effective Deep Learning Model for RNA Secondary Structure Prediction | bioRxiv | Joerg KH Franke Frederic Runge Ryan Koeksal Rolf Backofen Frank Hutter | 2024 |
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks | arXiv preprint arXiv:2402.11137 | Benjamin Feuer Robin Tibor Schirrmeister Valeriia Cherepanova Chinmay Hegde Frank Hutter | 2024/2/17 |
Surprisingly Strong Performance Prediction with Neural Graph Features | arXiv preprint arXiv:2404.16551 | Gabriela Kadlecová Jovita Lukasik Martin Pilát Petra Vidnerová Mahmoud Safari | 2024/4/25 |
RnaBench: A Comprehensive Library for In Silico RNA Modelling | bioRxiv | Frederic Runge Karim Farid Jorg KH Franke Frank Hutter | 2024 |
Self-correcting bayesian optimization through bayesian active learning | Advances in Neural Information Processing Systems | Carl Hvarfner Erik Hellsten Frank Hutter Luigi Nardi | 2024/2/13 |
Can fairness be automated? Guidelines and opportunities for fairness-aware AutoML | Journal of Artificial Intelligence Research | Hilde Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Edward Bergman | 2024/2/17 |
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization | arXiv preprint arXiv:2404.16795 | Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Edward Bergman | 2024/4/25 |
Efficient bayesian learning curve extrapolation using prior-data fitted networks | Advances in Neural Information Processing Systems | Steven Adriaensen Herilalaina Rakotoarison Samuel Müller Frank Hutter | 2024/2/13 |
Construction of hierarchical neural architecture search spaces based on context-free grammars | Advances in Neural Information Processing Systems | Simon Schrodi Danny Stoll Binxin Ru Rhea Sukthanker Thomas Brox | 2024/2/13 |
Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks | arXiv preprint arXiv:2403.01888 | Shuhei Watanabe Neeratyoy Mallik Edward Bergman Frank Hutter | 2024/3/4 |
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning | Journal of Artificial Intelligence Research | Raghu Rajan Jessica Lizeth Borja Diaz Suresh Guttikonda Fabio Ferreira André Biedenkapp | 2023/7/12 |
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems | Raghu Rajan Jack Parker-Holder Xingyou Song André Biedenkapp Yingjie Miao | 2023/8/15 | |
Fairness Metric Impossibility: Investigating and Addressing Conflicts | Jake Robertson Noor Awad Thorsten L Schmidt Frank Hutter | 2023/10/13 |
Co-Authors
