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Training Normalizing Flows with the Information Bottleneck for
  Competitive Generative Classification

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

17 January 2020
Lynton Ardizzone
Radek Mackowiak
Ullrich Kothe
Carsten Rother
    UQCV
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Papers citing "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification"

2 / 2 papers shown
Title
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
24
1
0
24 Aug 2022
Conditional Invertible Neural Networks for Diverse Image-to-Image
  Translation
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
Lynton Ardizzone
Jakob Kruse
Carsten T. Lüth
Niels Bracher
Carsten Rother
Ullrich Kothe
21
32
0
05 May 2021
1