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Danny Stoll
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2020 – today
- 2024
- [i8]Anton Geburek, Neeratyoy Mallik, Danny Stoll, Xavier Bouthillier, Frank Hutter:
LMEMs for post-hoc analysis of HPO Benchmarking. CoRR abs/2408.02533 (2024) - 2023
- [c5]Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter:
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. NeurIPS 2023 - [c4]Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter:
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars. NeurIPS 2023 - [i7]Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter:
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. CoRR abs/2306.12370 (2023) - 2022
- [c3]Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi:
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. ICLR 2022 - [c2]Archit Bansal, Danny Stoll, Maciej Janowski, Arber Zela, Frank Hutter:
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search. NeurIPS 2022 - [i6]Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR abs/2201.03801 (2022) - [i5]Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi:
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. CoRR abs/2204.11051 (2022) - [i4]Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter:
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning. CoRR abs/2207.07875 (2022) - [i3]Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter:
Towards Discovering Neural Architectures from Scratch. CoRR abs/2211.01842 (2022) - 2021
- [j1]Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3108-3125 (2021) - 2020
- [i2]Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter:
Hyperparameter Transfer Across Developer Adjustments. CoRR abs/2010.13117 (2020)
2010 – 2019
- 2019
- [c1]Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter:
Learning to Design RNA. ICLR (Poster) 2019 - 2018
- [i1]Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter:
Learning to Design RNA. CoRR abs/1812.11951 (2018)
Coauthor Index
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last updated on 2024-09-14 02:06 CEST by the dblp team
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