Lukas Balles
Lukas Balles
PhD Student, Max Planck Institute for Intelligent Systems
Bestätigte E-Mail-Adresse bei tuebingen.mpg.de - Startseite
TitelZitiert vonJahr
Coupling Adaptive Batch Sizes with Learning Rates
L Balles, J Romero, P Hennig
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial …, 2017
302017
Learning human optical flow
A Ranjan, J Romero, MJ Black
arXiv preprint arXiv:1806.05666, 2018
28*2018
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients
L Balles, P Hennig
Proceedings of the 35th International Conference on Machine Learning (ICML …, 2018
142018
Early stopping without a validation set
M Mahsereci, L Balles, C Lassner, P Hennig
arXiv preprint arXiv:1703.09580, 2017
102017
Automating stochastic optimization with gradient variance estimates
L Balles, M Mahsereci, P Hennig
ICML AutoML Workshop, 13, 2017
22017
Limitations of the Empirical Fisher Approximation
F Kunstner, L Balles, P Hennig
arXiv preprint arXiv:1905.12558, 2019
12019
DeepOBS: A Deep Learning Optimizer Benchmark Suite
F Schneider, L Balles, P Hennig
Seventh International Conference on Learning Representations (ICLR), 2019
12019
Holographic and other Point Set Distances for Machine Learning
L Balles, T Fischbacher
2018
Deep Learning for Diabetic Retinopathy Diagnostic
L Balles
Universität Heidelberg Heidelberg, 2016
2016
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