On Variational Bounds of Mutual Information

16 May 2019

Papers citing "On Variational Bounds of Mutual Information"

21 / 21 papers shown

Title
InfoPO: On Mutual Information Maximization for Large Language Model Alignment Teng Xiao Zhen Ge Sujay Sanghavi Tian Wang Julian Katz-Samuels Marc Versage Qingjun Cui Trishul Chilimbi 90 0 0 13 May 2025
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning Shiguang Sun Hanbo Zhang Zeyang Liu Xinrui Yang Lipeng Wan Bing Yan Xingyu Chen Xuguang Lan 115 0 0 05 Apr 2025
The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities Yongwei Che Benjamin Eysenbach 52 1 0 20 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 79 3 0 17 Jan 2025
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios Marko Tuononen Dani Korpi Ville Hautamäki FAtt 53 2 0 10 Jan 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 59 0 0 23 Dec 2024
Surveying the space of descriptions of a composite system with machine learning Kieran A. Murphy Yujing Zhang D. Bassett 102 0 0 27 Nov 2024
Bounds on Lp errors in density ratio estimation via f-divergence loss functions Yoshiaki Kitazawa 57 0 0 02 Oct 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 69 2 0 03 Aug 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 71 9 0 24 Jun 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 88 7 0 08 Apr 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 79 8 0 06 Mar 2024
LIMIT: Learning Interfaces to Maximize Information Transfer Benjamin A. Christie Dylan P. Losey 44 4 0 17 Apr 2023
CoMIR: Contrastive Multimodal Image Representation for Registration Nicolas Pielawski Elisabeth Wetzer Johan Öfverstedt Jiahao Lu Carolina Wählby Joakim Lindblad Natavsa Sladoje 48 81 0 11 Jun 2020
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 62 475 0 05 Dec 2018
Formal Limitations on the Measurement of Mutual Information David A. McAllester K. Stratos SSL 51 275 0 10 Nov 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 42 1,336 0 16 Feb 2018
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 87 131 0 18 Sep 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 84 1,648 0 02 Jun 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 116 1,570 0 09 Mar 2015
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models A. Mnih Yee Whye Teh 80 578 0 27 Jun 2012