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Gacs-Korner Common Information Variational Autoencoder

Gacs-Korner Common Information Variational Autoencoder

24 May 2022
Michael Kleinman
Alessandro Achille
Stefano Soatto
J. Kao
    CML
    DRL
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Papers citing "Gacs-Korner Common Information Variational Autoencoder"

9 / 9 papers shown
Title
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
R. A. Mancisidor
Robert Jenssen
Shujian Yu
Michael C. Kampffmeyer
27
0
0
02 May 2025
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Romain Chor
Abdellatif Zaidi
Piotr Krasnowski
49
0
0
25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Romain Chor
Milad Sefidgaran
Piotr Krasnowski
91
1
0
21 Feb 2025
Discovering Common Information in Multi-view Data
Discovering Common Information in Multi-view Data
Qi Zhang
Mingfei Lu
Shujian Yu
Jingmin Xin
Badong Chen
37
5
0
21 Jun 2024
Minimum Description Length and Generalization Guarantees for
  Representation Learning
Minimum Description Length and Generalization Guarantees for Representation Learning
Romain Chor
Abdellatif Zaidi
Piotr Krasnowski
45
7
0
05 Feb 2024
Multi-modal Gaussian Process Variational Autoencoders for Neural and
  Behavioral Data
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
Rabia Gondur
Usama Bin Sikandar
Evan Schaffer
Mikio C. Aoi
Stephen L. Keeley
DRL
26
9
0
04 Oct 2023
Quantifying & Modeling Multimodal Interactions: An Information
  Decomposition Framework
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang
Yun Cheng
Xiang Fan
Chun Kai Ling
Suzanne Nie
...
Nicholas B. Allen
Randy P. Auerbach
Faisal Mahmood
Ruslan Salakhutdinov
Louis-Philippe Morency
43
30
0
23 Feb 2023
Critical Learning Periods for Multisensory Integration in Deep Networks
Critical Learning Periods for Multisensory Integration in Deep Networks
Michael Kleinman
Alessandro Achille
Stefano Soatto
35
10
0
06 Oct 2022
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
184
313
0
07 Feb 2020
1