Kevin Roth - RankMe

19 papers A* 6Journal 10Unranked 2

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