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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks

Feb 07, 2020
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin


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How Good is the Bayes Posterior in Deep Neural Networks Really?

Feb 06, 2020
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Świątkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin


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Hydra: Preserving Ensemble Diversity for Model Distillation

Jan 14, 2020
Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton


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Adversarial Training Generalizes Data-dependent Spectral Norm Regularization

Jun 17, 2019
Kevin Roth, Yannic Kilcher, Thomas Hofmann


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The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

Feb 13, 2019
Kevin Roth, Yannic Kilcher, Thomas Hofmann


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Adversarially Robust Training through Structured Gradient Regularization

May 22, 2018
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann


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Stabilizing Training of Generative Adversarial Networks through Regularization

Nov 07, 2017
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann


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