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ORCIDFrank Schneider 0001
Person information
- affiliation: University of Tübingen, Germany
Other persons with the same name
- Frank Schneider — disambiguation page
Other persons with a similar name
- Frank E. Schneider
![[0000-0002-3667-8222]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3667-8222")
- Frank M. Schneider — University of Mannheim, Germany
- Frank R. Schneider
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2020 – today
- 2024
[i7]Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig:
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning. CoRR abs/2410.06800 (2024)- 2023
- [c4]Runa Eschenhagen, Alexander Immer, Richard E. Turner, Frank Schneider, Philipp Hennig:
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures. NeurIPS 2023 - [i6]George E. Dahl, Frank Schneider, Zachary Nado, Naman Agarwal, Chandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, Runa Eschenhagen, Priya Kasimbeg, Daniel Suo, Juhan Bae, Justin Gilmer, Abel L. Peirson, Bilal Khan, Rohan Anil, Mike Rabbat, Shankar Krishnan, Daniel Snider, Ehsan Amid, Kongtao Chen, Chris J. Maddison, Rakshith Vasudev, Michal Badura, Ankush Garg, Peter Mattson:
Benchmarking Neural Network Training Algorithms. CoRR abs/2306.07179 (2023) - [i5]Lukas Tatzel, Jonathan Wenger, Frank Schneider, Philipp Hennig:
Accelerating Generalized Linear Models by Trading off Computation for Uncertainty. CoRR abs/2310.20285 (2023) - [i4]Runa Eschenhagen, Alexander Immer, Richard E. Turner, Frank Schneider, Philipp Hennig:
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures. CoRR abs/2311.00636 (2023) - 2022
- [b1]Frank Schneider:
Understanding Deep Learning Optimization via Benchmarking and Debugging. University of Tübingen, Germany, 2022 - 2021
- [c3]Robin M. Schmidt, Frank Schneider, Philipp Hennig:
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers. ICML 2021: 9367-9376 - [c2]Frank Schneider, Felix Dangel, Philipp Hennig:
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks. NeurIPS 2021: 20825-20837 - [i3]Frank Schneider, Felix Dangel, Philipp Hennig:
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks. CoRR abs/2102.06604 (2021) - 2020
- [i2]Robin M. Schmidt, Frank Schneider, Philipp Hennig:
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers. CoRR abs/2007.01547 (2020)
2010 – 2019
- 2019
- [c1]Frank Schneider, Lukas Balles, Philipp Hennig:
DeepOBS: A Deep Learning Optimizer Benchmark Suite. ICLR (Poster) 2019 - [i1]Frank Schneider, Lukas Balles, Philipp Hennig:
DeepOBS: A Deep Learning Optimizer Benchmark Suite. CoRR abs/1903.05499 (2019)
Coauthor Index
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