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Kevin Roth
Publication Activity (10 Years)
Years Active: 2017-2021
Publications (10 Years): 18
Top Topics
Norm Regularization
Top Venues
CoRR
ICML
NeurIPS
NIPS
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Publications
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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)