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Conditional Mutual Information Neural Estimator
v1v2 (latest)

Conditional Mutual Information Neural Estimator

6 November 2019
Sina Molavipour
Germán Bassi
Mikael Skoglund
ArXiv (abs)PDFHTML

Papers citing "Conditional Mutual Information Neural Estimator"

19 / 19 papers shown
Title
An Information Theoretic Approach to Interaction-Grounded Learning
An Information Theoretic Approach to Interaction-Grounded Learning
Xiaoyan Hu
Farzan Farnia
Ho-fung Leung
VLM
77
2
0
10 Jan 2024
Disentanglement and Generalization Under Correlation Shifts
Disentanglement and Generalization Under Correlation Shifts
Christina M. Funke
Paul Vicol
Kuan-Chieh Wang
Matthias Kümmerer
R. Zemel
Matthias Bethge
OOD
110
7
0
29 Dec 2021
Towards quantifying information flows: relative entropy in deep neural
  networks and the renormalization group
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
J. Erdmenger
Kevin T. Grosvenor
R. Jefferson
82
17
0
14 Jul 2021
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding
Rick Fritschek
Rafael F. Schaefer
Gerhard Wunder
AAML
40
4
0
01 Jun 2021
Neural Estimators for Conditional Mutual Information Using Nearest
  Neighbors Sampling
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling
Sina Molavipour
Germán Bassi
Mikael Skoglund
53
8
0
12 Jun 2020
Capacity of Continuous Channels with Memory via Directed Information
  Neural Estimator
Capacity of Continuous Channels with Memory via Directed Information Neural Estimator
Ziv Aharoni
Dor Tsur
Ziv Goldfeld
Haim Permuter
61
21
0
09 Mar 2020
CCMI : Classifier based Conditional Mutual Information Estimation
CCMI : Classifier based Conditional Mutual Information Estimation
Sudipto Mukherjee
Himanshu Asnani
Sreeram Kannan
VLM
127
81
0
05 Jun 2019
Deep Learning for Channel Coding via Neural Mutual Information
  Estimation
Deep Learning for Channel Coding via Neural Mutual Information Estimation
Rick Fritschek
Rafael F. Schaefer
Gerhard Wunder
85
46
0
07 Mar 2019
Formal Limitations on the Measurement of Mutual Information
Formal Limitations on the Measurement of Mutual Information
David A. McAllester
K. Stratos
SSL
95
277
0
10 Nov 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
405
2,677
0
20 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
360
10,386
0
10 Jul 2018
Entropy and mutual information in models of deep neural networks
Entropy and mutual information in models of deep neural networks
Marylou Gabrié
Andre Manoel
Clément Luneau
Jean Barbier
N. Macris
Florent Krzakala
Lenka Zdeborová
85
179
0
24 May 2018
Physical Layer Communications System Design Over-the-Air Using
  Adversarial Networks
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks
Tim O'Shea
Tamoghna Roy
Nathan E. West
Benjamin C. Hilburn
GAN
58
109
0
08 Mar 2018
Conditional independence testing based on a nearest-neighbor estimator
  of conditional mutual information
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information
Jakob Runge
164
171
0
05 Sep 2017
Deep Learning-Based Communication Over the Air
Deep Learning-Based Communication Over the Air
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
95
720
0
11 Jul 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
188
2,207
0
02 Feb 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
170
1,658
0
02 Jun 2016
Demystifying Fixed k-Nearest Neighbor Information Estimators
Demystifying Fixed k-Nearest Neighbor Information Estimators
Weihao Gao
Sewoong Oh
Pramod Viswanath
93
138
0
11 Apr 2016
Estimating divergence functionals and the likelihood ratio by convex
  risk minimization
Estimating divergence functionals and the likelihood ratio by convex risk minimization
X. Nguyen
Martin J. Wainwright
Michael I. Jordan
240
807
0
04 Sep 2008
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