Kevin Roth

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 18

Top Topics

Norm Regularization

Top Venues

Publications

Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
Precise characterization of the prior predictive distribution of deep ReLU networks. CoRR (2021)
Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. CoRR (2021)
Kevin Roth
A Primer on Multi-Neuron Relaxation-based Adversarial Robustness Certification. CoRR (2021)
Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
Precise characterization of the prior predictive distribution of deep ReLU networks. NeurIPS (2021)
Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. NeurIPS (2021)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
Adversarial Training is a Form of Data-dependent Operator Norm Regularization. NeurIPS (2020)
Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton
Hydra: Preserving Ensemble Diversity for Model Distillation. CoRR (2020)
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. CoRR (2020)
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. ICML (2020)
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML (2020)
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
How Good is the Bayes Posterior in Deep Neural Networks Really? CoRR (2020)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. ICML (2019)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. CoRR (2019)
Kevin Roth, Yannic Kilcher, Thomas Hofmann
Adversarial Training Generalizes Data-dependent Spectral Norm Regularization. CoRR (2019)
Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
Adversarially Robust Training through Structured Gradient Regularization. CoRR (2018)
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, David Dolman, Kevin Roth, Chris Holyoake, Ken Crocker, Adam Smith
High Performance Space Computing with System-on-Chip Instrument Avionics for Space-based Next Generation Imaging Spectrometers (NGIS). AHS (2018)
Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
Stabilizing Training of Generative Adversarial Networks through Regularization. CoRR (2017)
Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
Stabilizing Training of Generative Adversarial Networks through Regularization. NIPS (2017)