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2102.03014
Cited By
A Variational Information Bottleneck Approach to Multi-Omics Data Integration
5 February 2021
Changhee Lee
M. Schaar
DRL
Re-assign community
ArXiv
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Papers citing
"A Variational Information Bottleneck Approach to Multi-Omics Data Integration"
15 / 15 papers shown
Title
A systematic review of challenges and proposed solutions in modeling multimodal data
Maryam Farhadizadeh
Maria Weymann
Michael Blaß
Johann Kraus
Christopher Gundler
Sebastian Walter
Noah Hempen
Harald Binde
Nadine Binder
57
0
0
11 May 2025
Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification
Wulin Xie
Lian Zhao
Jiang Long
Xiaohuan Lu
Bingyan Nie
79
0
0
28 Jan 2025
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
Eslam Abdelaleem
I. Nemenman
K. M. Martini
58
6
0
05 Oct 2023
Learning Robust Representations via Multi-View Information Bottleneck
Marco Federici
Anjan Dutta
Patrick Forré
Nate Kushman
Zeynep Akata
SLR
50
256
0
17 Feb 2020
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi
Siddharth Narayanaswamy
Brooks Paige
Philip Torr
DRL
67
270
0
08 Nov 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers
Kui Jia
Jiehong Lin
Mingkui Tan
Dacheng Tao
3DV
41
32
0
25 Apr 2019
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
Ruslan Salakhutdinov
DRL
98
407
0
16 Jun 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu
Noah D. Goodman
DRL
70
380
0
14 Feb 2018
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille
Stefano Soatto
OOD
DRL
88
476
0
05 Jun 2017
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
98
1,714
0
01 Dec 2016
A Survey of Multi-View Representation Learning
Yingming Li
Ming Yang
Zhongfei Zhang
AI4TS
3DV
251
512
0
03 Oct 2016
On Deep Multi-View Representation Learning: Objectives and Optimization
Weiran Wang
R. Arora
Karen Livescu
J. Bilmes
SSL
DRL
64
913
0
02 Feb 2016
Structured Matrix Completion with Applications to Genomic Data Integration
Tianxi Cai
T. Tony Cai
Anru R. Zhang
55
74
0
08 Apr 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Yanshuai Cao
David J. Fleet
41
186
0
28 Oct 2014
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