Danny Stoll

According to our database, Danny Stoll authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars.

Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.

Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Towards Discovering Neural Architectures from Scratch.

Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter

CoRR, 2022

On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning.

Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter

CoRR, 2022

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.

Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi

CoRR, 2022

JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search.

Archit Bansal, Danny Stoll, Maciej Janowski, Arber Zela, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.

Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Hyperparameter Transfer Across Developer Adjustments.

Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter

CoRR, 2020

2019

Learning to Design RNA.

Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter

Proceedings of the 7th International Conference on Learning Representations, 2019