Kevin Roth
7 papers · 2017–2021 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (2) π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer
β
The Questioner
Conferences
NIPS (4)
ICML (3)
Top co-authors
Keywords
bayesian neural network
(3)
stochastic gradient
(1)
stochastic gradient descent
(1)
adversarial robustness
(1)
image generation
(1)
network architecture
(1)
variational inference
(1)
uncertainty quantification
(1)
data augmentation
(1)
mean field approximation
(1)
adversarial training
(1)
deep learning
(1)
neural network optimization
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
statistical testing
(1)
mean field
(1)
gaussian priors
(1)
posterior predictive
(1)
adversarial attack
(1)
Papers
Precise characterization of the prior predictive distribution of deep ReLU networks
NIPS 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
NIPS 2021
How Good is the Bayes Posterior in Deep Neural Networks Really?
ICML 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
ICML 2020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
NIPS 2020
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
ICML 2019
Stabilizing Training of Generative Adversarial Networks through Regularization
NIPS 2017