Jeremiah Birrell | DeepAI

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∙ 09/07/2023

Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences

We introduce the ARMOR_D methods as novel approaches to enhancing the ad...

0 Jeremiah Birrell, et al. ∙

∙ 10/10/2022

Function-space regularized Rényi divergences

We propose a new family of regularized Rényi divergences parametrized no...

0 Jeremiah Birrell, et al. ∙

∙ 02/02/2022

Structure-preserving GANs

Generative adversarial networks (GANs), a class of distribution-learning...

0 Jeremiah Birrell, et al. ∙

∙ 11/11/2020

(f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics

We develop a general framework for constructing new information-theoreti...

0 Jeremiah Birrell, et al. ∙

∙ 07/07/2020

A Variational Formula for Rényi Divergences

We derive a new variational formula for the Rényi family of divergences,...

0 Jeremiah Birrell, et al. ∙

∙ 06/15/2020

Optimizing variational representations of divergences and accelerating their statistical estimation

Variational representations of distances and divergences between high-di...

0 Jeremiah Birrell, et al. ∙

∙ 06/21/2019

Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory

Variational-principle-based methods that relate expectations of a quanti...

0 Jeremiah Birrell, et al. ∙

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