Stabilizing Training of Generative Adversarial Networks through Regularization. - Kevin Roth; Aurélien Lucchi; Sebastian Nowozin; Thomas Hofmann (NIPS, 2017)

High Performance Space Computing with System-on-Chip Instrument Avionics for Space-based Next Generation Imaging Spectrometers (NGIS). - Didier Keymeulen; Simon Shin; Jason Riddley; Matthew Klimesh; Aaron B. Kiely; Elliott Liggett; Peter Sullivan; Michael Bernas; Hamid Ghossemi; Greg Flesch; Michael Cheng; Sam Dolinar; et al. (AHS, 2018)

Adversarially Robust Training through Structured Gradient Regularization. - Kevin Roth; Aurélien Lucchi; Sebastian Nowozin; Thomas Hofmann (CoRR, 2018)

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. - Kevin Roth; Yannic Kilcher; Thomas Hofmann (ICML, 2019)

Adversarial Training Generalizes Data-dependent Spectral Norm Regularization. - Kevin Roth; Yannic Kilcher; Thomas Hofmann (CoRR, 2019)

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

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

Adversarial Training is a Form of Data-dependent Operator Norm Regularization. - Kevin Roth; Yannic Kilcher; Thomas Hofmann (NeurIPS, 2020)

Hydra: Preserving Ensemble Diversity for Model Distillation. - Linh Tran; Bastiaan S. Veeling; Kevin Roth; Jakub Swiatkowski; Joshua V. Dillon; Jasper Snoek; Stephan Mandt; Tim Salimans; Sebastian Nowozin; Rodolphe Jenatton (CoRR, 2020)

Precise characterization of the prior predictive distribution of deep ReLU networks. - Lorenzo Noci; Gregor Bachmann; Kevin Roth; Sebastian Nowozin; Thomas Hofmann (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)

A Primer on Multi-Neuron Relaxation-based Adversarial Robustness Certification. - Kevin Roth (CoRR, 2021)

Robustness and Regularization of Deep Neural Networks. - Kevin Roth (2021)