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2001.06448
Cited By

Training Normalizing Flows with the Information Bottleneck for
Competitive Generative Classification

v1v2v3v4v5 (latest)

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

17 January 2020

Lynton Ardizzone

Radek Mackowiak

ArXiv (abs)PDF HTML

Papers citing "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification"

4 / 4 papers shown

Maximum Likelihood on the Joint (Data, Condition) Distribution for
Solving Ill-Posed Problems with Conditional Flow Models

Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models

John Shelton Hyatt

175

1

0

24 Aug 2022

Bounding generalization error with input compression: An empirical study
with infinite-width networks

Bounding generalization error with input compression: An empirical study with infinite-width networks

Yani Andrew Ioannou

Graham W. Taylor

207

5

0

19 Jul 2022

Conditional Invertible Neural Networks for Diverse Image-to-Image
Translation

Conditional Invertible Neural Networks for Diverse Image-to-Image TranslationGerman Conference on Pattern Recognition (DAGM), 2021

Lynton Ardizzone

Carsten T. Lüth

288

38

0

05 May 2021

Likelihood Regret: An Out-of-Distribution Detection Score For
Variational Auto-encoder

Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoderNeural Information Processing Systems (NeurIPS), 2020

402

214

0

06 Mar 2020

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