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1905.06922
Cited By
On Variational Bounds of Mutual Information
16 May 2019
Ben Poole
Sherjil Ozair
Aaron van den Oord
Alexander A. Alemi
George Tucker
SSL
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Papers citing
"On Variational Bounds of Mutual Information"
50 / 167 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
31
0
0
13 May 2025
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui
Changkyu Choi
Andrey Barsky
Kangsoo Jung
Ernest Valveny
Dimosthenis Karatzas
28
0
0
12 May 2025
A Tutorial on Discriminative Clustering and Mutual Information
Louis Ohl
Pierre-Alexandre Mattei
F. Precioso
32
0
0
07 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
38
0
0
05 Apr 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang
Chengpei Wu
Ning Yang
39
0
0
14 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Yue Hou
He Zhu
Ruomei Liu
Yingke Su
Jinxiang Xia
Junran Wu
Ke Xu
OODD
111
0
0
13 Mar 2025
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
Guillaume Quétant
Pavlo Molchanov
Slava Voloshynovskiy
47
0
0
10 Mar 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti
Giulio Franzese
Pietro Michiardi
82
0
0
26 Feb 2025
A Neural Difference-of-Entropies Estimator for Mutual Information
Haoran Ni
Martin Lotz
SSL
DRL
91
0
0
18 Feb 2025
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
Yuchun Miao
Sen Zhang
Liang Ding
Yuqi Zhang
Lefei Zhang
Dacheng Tao
81
3
0
31 Jan 2025
The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
Yongwei Che
Benjamin Eysenbach
41
1
0
20 Jan 2025
Learning to Assist Humans without Inferring Rewards
Vivek Myers
Evan Ellis
Sergey Levine
Benjamin Eysenbach
Anca Dragan
43
2
0
17 Jan 2025
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Marko Tuononen
Dani Korpi
Ville Hautamäki
FAtt
38
1
0
10 Jan 2025
Discrete Curvature Graph Information Bottleneck
Xingcheng Fu
Jian Wang
Yisen Gao
Qingyun Sun
Haonan Yuan
Jianxin Li
Xianxian Li
34
0
0
31 Dec 2024
Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
You Wu
Yongxin Li
Mengyuan Liu
Xucheng Wang
Xiangyang Yang
Hengzhou Ye
Dan Zeng
Qijun Zhao
Shuiwang Li
140
0
0
28 Dec 2024
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo
Hyeonggeun Han
Sehwan Kim
Sangwoo Hong
Jungwoo Lee
40
0
0
23 Dec 2024
Bounds on Lp errors in density ratio estimation via f-divergence loss functions
Yoshiaki Kitazawa
21
0
0
02 Oct 2024
Learning Deep Kernels for Non-Parametric Independence Testing
Nathaniel Xu
Feng Liu
Danica J. Sutherland
BDL
34
0
0
10 Sep 2024
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
Tycho F. A. van der Ouderaa
Mark van der Wilk
Y. Gal
AAML
40
4
0
10 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
39
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
45
7
0
24 Jun 2024
Partial Information Decomposition for Data Interpretability and Feature Selection
Charles Westphal
Stephen Hailes
Mirco Musolesi
40
0
0
29 May 2024
Topological Perspectives on Optimal Multimodal Embedding Spaces
Abdul Aziz
Abdul Rahim
BDL
42
0
0
29 May 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen
Chenjia Bai
Kang Xu
Xudong Yu
Yang Zhang
Xuelong Li
Zhen Wang
41
2
0
10 May 2024
MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion
Pengcheng Li
Jianzong Wang
Xulong Zhang
Yong Zhang
Jing Xiao
Ning Cheng
DRL
41
1
0
02 May 2024
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement
Zeyu Hu
Yuzhi Xiao
Tao Huang
Xuanrong Huo
DRL
44
0
0
28 Apr 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
54
5
0
08 Apr 2024
Poly-View Contrastive Learning
Amitis Shidani
Devon Hjelm
Jason Ramapuram
Russ Webb
Eeshan Gunesh Dhekane
Dan Busbridge
VLM
SSL
34
4
0
08 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Xin Chen
Hanxian Huang
Yanjun Gao
Yi Wang
Jishen Zhao
Ke Ding
35
11
0
05 Mar 2024
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
32
3
0
29 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSL
DRL
46
1
0
19 Feb 2024
Information-Theoretic State Variable Selection for Reinforcement Learning
Charles Westphal
Stephen Hailes
Mirco Musolesi
26
3
0
21 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
Pierre-Luc Bacon
AI4TS
AI4CE
22
20
0
17 Jan 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
35
1
0
05 Dec 2023
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
19
4
0
01 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
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
0
13 Oct 2023
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation
Niklas Smedemark-Margulies
Ye Wang
T. Koike-Akino
Jing Liu
K. Parsons
Yunus Bicer
Deniz Erdogmus
9
0
0
12 Oct 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation
Yuxin Mao
Jing Zhang
Mochu Xiang
Yiran Zhong
Yuchao Dai
40
34
0
12 Oct 2023
Interpretable Diffusion via Information Decomposition
Xianghao Kong
Ollie Liu
Han Li
Dani Yogatama
Greg Ver Steeg
24
20
0
12 Oct 2023
Learning Disentangled Representation with Mutual Information Maximization for Real-Time UAV Tracking
Xucheng Wang
Xiangyang Yang
Hengzhou Ye
Shuiwang Li
21
5
0
20 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Yucheng Shi
Yushun Dong
Qiaoyu Tan
Jundong Li
Ninghao Liu
48
24
0
18 Aug 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing
Antti Keurulainen
Isak Westerlund
Oskar Keurulainen
Andrew Howes
28
7
0
19 Jul 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
26
22
0
16 Jun 2023
Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information
Yingqiang Gao
Jessica Lam
Nianlong Gu
Richard H. R. Hahnloser
18
0
0
19 May 2023
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
Min-Kook Suh
Seung-Woo Seo
SSL
26
14
0
02 May 2023
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning
Takumi Nakagawa
Y. Sanada
Hiroki Waida
Yuhui Zhang
Yuichiro Wada
K. Takanashi
Tomonori Yamada
Takafumi Kanamori
DiffM
19
5
0
19 Apr 2023
LIMIT: Learning Interfaces to Maximize Information Transfer
Benjamin A. Christie
Dylan P. Losey
31
4
0
17 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
13
21
0
04 Apr 2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
27
1
0
02 Apr 2023
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