Nonlinear Information Bottleneck

6 May 2017

Papers citing "Nonlinear Information Bottleneck"

30 / 30 papers shown

Title
Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories Faruk Alpay 14 0 0 14 May 2025
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 Romain Chor Milad Sefidgaran Piotr Krasnowski 91 1 0 21 Feb 2025
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning Xiao Du Yutong Ye Peng Zhang Yaning Yang Mingsong Chen Ting Wang 35 4 0 15 Dec 2023
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck Kieran A. Murphy Danielle Bassett 36 5 0 08 Nov 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 35 5 0 30 Nov 2022
Robust and Fast Measure of Information via Low-rank Representation Yuxin Dong Tieliang Gong Shujian Yu Hong Chen Chen Li 28 1 0 30 Nov 2022
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 29 15 0 31 Oct 2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems Jirong Yi Q. Zhang Zhenji Chen Qiaoan Liu Weizhuo Shao SSL FedML 31 3 0 21 Sep 2022
Multi-view Information Bottleneck Without Variational Approximation Qi Zhang Shujian Yu J. Xin Badong Chen 20 10 0 22 Apr 2022
Mutual information estimation for graph convolutional neural networks Marius Cervera Landsverk S. Riemer-Sørensen SSL GNN 22 1 0 31 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck Anirban Samaddar Sandeep Madireddy Prasanna Balaprakash Tapabrata Maiti Gustavo de los Campos Ian Fischer 24 1 0 04 Mar 2022
Conditional entropy minimization principle for learning domain invariant representation features Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 27 7 0 25 Jan 2022
Computationally Efficient Approximations for Matrix-based Renyi's Entropy Tieliang Gong Yuxin Dong Shujian Yu B. Dong 67 2 0 27 Dec 2021
A Provably Convergent Information Bottleneck Solution via ADMM Tengfei Huang Aly El Gamal 20 6 0 09 Feb 2021
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization Tianhao Wang Yuheng Zhang R. Jia 22 74 0 11 Sep 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 33 198 0 12 Jun 2020
A Variational Approach to Privacy and Fairness Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund FaML DRL 19 25 0 11 Jun 2020
On the Maximum Mutual Information Capacity of Neural Architectures Brandon Foggo Nan Yu TPM 23 3 0 10 Jun 2020
Mutual Information Gradient Estimation for Representation Learning Liangjiang Wen Yiji Zhou Lirong He Mingyuan Zhou Zenglin Xu DRL SSL 28 27 0 03 May 2020
On Information Plane Analyses of Neural Network Classifiers -- A Review Bernhard C. Geiger 32 50 0 21 Mar 2020
Minimal Achievable Sufficient Statistic Learning Milan Cvitkovic Günther Koliander 22 12 0 19 May 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 19 17 0 15 Apr 2019
Statistical Characteristics of Deep Representations: An Empirical Investigation Daeyoung Choi Kyungeun Lee Changho Shin Stephen J. Roberts AI4TS 16 2 0 08 Nov 2018
The Variational Deficiency Bottleneck P. Banerjee Guido Montúfar 13 7 0 27 Oct 2018
Entropy and mutual information in models of deep neural networks Marylou Gabrié Andre Manoel Clément Luneau Jean Barbier N. Macris Florent Krzakala Lenka Zdeborová 30 179 0 24 May 2018
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 35 195 0 27 Feb 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 41 1,250 0 12 Jan 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016