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Given two views of data, we consider the problem of finding the features of one view which can be most faithfully inferred from the other.
Relations between two sets of variates
Harold Hotelling · 1936
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The approximation of one matrix by another of lower rank
Carl Eckart and Gale Young · 1936
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The structure of bivariate distributions
HO Lancaster · 1958
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Polynomial expansions of bivariate distributions
GK Eagleson · 1964
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Quantum entropy and its use
M. Ohya and D. Petz · 2004
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Linear information coupling problems
Shao-Lun Huang and Lizhong Zheng · 2012
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Renormalisation as an inference problem
Cédric Bény and Tobias J Osborne · 2013
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Deep canonical correlation analysis
Galen Andrew, Raman Arora, Jeff Bilmes, and Karen Livescu · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, and Daan Wierstra · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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The renormalisation group via statistical inference
Cédric Bény and Tobias J Osborne · 2015
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Deep variational canonical correlation analysis
Weiran Wang, Xinchen Yan, Honglak Lee, and Karen Livescu · 2016
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Energy-based generative adversarial network
Junbo Zhao, Michael Mathieu, and Yann LeCun · 2016
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Discovering physical concepts with neural networks
Raban Iten, Tony Metger, Henrik Wilming, Lídia Del Rio, and Renato Renner · 2018
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An information-theoretic framework for non-linear canonical correlation analysis
Amichai Painsky, Meir Feder, and Naftali Tishby · 2018
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A study of local approximations in information theory
Anuran Makur · 2015
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Information geometric approach to the renormalisation group
C. Bény and T. J. Osborne · 2015
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Nonparametric canonical correlation analysis
Tomer Michaeli, Weiran Wang, and Karen Livescu · 2016
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Cédric Bény · 2018
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Coarse-grained distinguishability of field interactions
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Flux: Elegant machine learning with julia
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