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
292017
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
A Ranjan, V Jampani, L Balles, K Kim, D Sun, J Wulff, MJ Black
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
192019
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
132018
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
DeepOBS: A Deep Learning Optimizer Benchmark Suite
F Schneider, L Balles, P Hennig
arXiv preprint arXiv:1903.05499, 2019
12019
Limitations of the Empirical Fisher Approximation
F Kunstner, L Balles, P Hennig
arXiv preprint arXiv:1905.12558, 2019
2019
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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