Kevin Roth
Title
Cited by
Cited by
Year
Stabilizing training of generative adversarial networks through regularization
K Roth, A Lucchi, S Nowozin, T Hofmann
Advances in Neural Information Processing Systems (NeurIPS), 2018-2028, 2017
1552017
Model of brain activation predicts the neural collective influence map of the brain
F Morone, K Roth, B Min, HE Stanley, HA Makse
Proceedings of the National Academy of Sciences 114 (15), 3849-3854, 2017
39*2017
The odds are odd: A statistical test for detecting adversarial examples
K Roth, Y Kilcher, T Hofmann
International Conference on Machine Learning (ICML), 36, 2019
142019
Adversarially robust training through structured gradient regularization
K Roth, A Lucchi, S Nowozin, T Hofmann
arXiv preprint arXiv:1805.08736, 2018
92018
Emergence of robustness in networks of networks
K Roth, F Morone, B Min, HA Makse
Physical Review E 95 (6), 062308, 2017
72017
How good is the Bayes posterior in deep neural networks really?
F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ...
arXiv preprint arXiv:2002.02405, 2020
32020
Hydra: Preserving Ensemble Diversity for Model Distillation
L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ...
arXiv preprint arXiv:2001.04694, 2020
12020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
K Roth, Y Kilcher, T Hofmann
arXiv preprint arXiv:1906.01527, 2019
1*2019
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
J Swiatkowski, K Roth, BS Veeling, L Tran, JV Dillon, S Mandt, J Snoek, ...
arXiv preprint arXiv:2002.02655, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–9