Roth, Kevin

8 publications

ICMLW 2021 A Primer on Multi-Neuron Relaxation-Based Adversarial Robustness Certification Kevin Roth

NeurIPS 2021 Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann

NeurIPS 2021 Precise Characterization of the Prior Predictive Distribution of Deep ReLU Networks Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann

NeurIPS 2020 Adversarial Training Is a Form of Data-Dependent Operator Norm Regularization Kevin Roth, Yannic Kilcher, Thomas Hofmann

ICML 2020 How Good Is the Bayes Posterior in Deep Neural Networks Really? Florian Wenzel, Kevin Roth, Bastiaan Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin

ICML 2020 The K-Tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks Jakub Swiatkowski, Kevin Roth, Bastiaan Veeling, Linh Tran, Joshua Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin

ICML 2019 The Odds Are Odd: A Statistical Test for Detecting Adversarial Examples Kevin Roth, Yannic Kilcher, Thomas Hofmann

NeurIPS 2017 Stabilizing Training of Generative Adversarial Networks Through Regularization Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann