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
2242017
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
43*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
342019
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, ...
International Conference on Machine Learning (ICML), 37, 2020
24*2020
Adversarially robust training through structured gradient regularization
K Roth, A Lucchi, S Nowozin, T Hofmann
arXiv preprint arXiv:1805.08736, 2018
162018
Emergence of robustness in networks of networks
K Roth, F Morone, B Min, HA Makse
Physical Review E 95 (6), 062308, 2017
92017
Hydra: Preserving ensemble diversity for model distillation
L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ...
ICML Workshop on Uncertainty & Robustness in Deep Learning, 2020
72020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
K Roth, Y Kilcher, T Hofmann
Advances in Neural Information Processing Systems (NeurIPS 2020), 2019
3*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, ...
International Conference on Machine Learning (ICML), 37, 2020
22020
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Articles 1–9