Frank Schneider
Frank Schneider
Postdoctoral Researcher, University of Tübingen
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Cited by
Cited by
Descending through a Crowded Valley -- Benchmarking Deep Learning Optimizers
RM Schmidt, F Schneider, P Hennig
International Conference on Machine Learning, 9367-9376, 2021
DeepOBS: A Deep Learning Optimizer Benchmark Suite
F Schneider, L Balles, P Hennig
International Conference on Learning Representations, 2019
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
F Schneider, F Dangel, P Hennig
Advances in Neural Information Processing Systems 34, 20825-20837, 2021
Approximations of Inverses of BTTB Matrices
F Schneider
Understanding Deep Learning Optimization via Benchmarking and Debugging
F Schneider
Universität Tübingen, 2022
Methods and apparatus for calculating electromagnetic scattering properties of a structure and for reconstruction of approximate structures
M Pisarenco, FS Schneider, MGMM Van Kraaij, MC Van Beurden
US Patent 11,041,816, 2021
Late-Phase Second-Order Training
L Tatzel, P Hennig, F Schneider
Has it Trained Yet? NeurIPS 2022 Workshop, 0
Inverse generating function approach for the preconditioning of Toeplitz‐block systems
FS Schneider, M Pisarenco
Numerical Linear Algebra with Applications, 0
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