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HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by
  Maximising Approximated Mutual Information

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information

6 August 2022
Xiao Liu
Spyridon Thermos
Pedro Sanchez
Alison Q. OÑeil
Sotirios A. Tsaftaris
ArXiv (abs)PDFHTML

Papers citing "HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information"

21 / 21 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Diffusion Causal Models for Counterfactual Estimation
Diffusion Causal Models for Counterfactual Estimation
Pedro Sanchez
Sotirios A. Tsaftaris
DiffMBDL
85
74
0
21 Feb 2022
Unsupervised Learning of Compositional Energy Concepts
Unsupervised Learning of Compositional Energy Concepts
Yilun Du
Shuang Li
Yash Sharma
J. Tenenbaum
Igor Mordatch
CoGeOCL
74
81
0
04 Nov 2021
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODDRL
102
72
0
26 Aug 2021
Controllable cardiac synthesis via disentangled anatomy arithmetic
Controllable cardiac synthesis via disentangled anatomy arithmetic
Spyridon Thermos
Xiao Liu
Alison Q. OÑeil
Sotirios A. Tsaftaris
MedIm
75
14
0
04 Jul 2021
Semi-supervised Meta-learning with Disentanglement for
  Domain-generalised Medical Image Segmentation
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Xiao Liu
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
70
49
0
24 Jun 2021
Disentangled Representations for Domain-generalized Cardiac Segmentation
Disentangled Representations for Domain-generalized Cardiac Segmentation
Xiao Liu
Spyridon Thermos
A. Chartsias
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
36
22
0
26 Aug 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
86
552
0
18 Jun 2020
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPMAI4CE
207
1,697
0
05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,449
0
03 Dec 2019
The HSIC Bottleneck: Deep Learning without Back-Propagation
The HSIC Bottleneck: Deep Learning without Back-Propagation
Kurt Wan-Duo Ma
J. P. Lewis
W. Kleijn
BDL
69
130
0
05 Aug 2019
Disentangled Representation Learning in Cardiac Image Analysis
Disentangled Representation Learning in Cardiac Image Analysis
A. Chartsias
T. Joyce
G. Papanastasiou
M. Williams
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
DRL
107
126
0
22 Mar 2019
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
124
1,467
0
29 Nov 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
133
2,482
0
12 Apr 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
194
1,279
0
12 Jan 2018
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
123
1,352
0
30 Nov 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
430
3,215
0
30 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
159
4,235
0
12 Jun 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,439
0
24 Jun 2012
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