MINE: Mutual Information Neural Estimation

12 January 2018

Mohamed Ishmael Belghazi

Aaron Courville

Papers citing "MINE: Mutual Information Neural Estimation"

50 / 632 papers shown

Title
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 46 4 0 28 Feb 2024
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy Songjie Xie Youlong Wu Jiaxuan Li Ming Ding Khaled B. Letaief AAML 36 1 0 16 Feb 2024
Backdoor Attack against One-Class Sequential Anomaly Detection Models He Cheng Shuhan Yuan SILM AAML 27 1 0 15 Feb 2024
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding Hai-Tao Yu Mofei Song 3DPC 22 7 0 15 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 29 0 0 14 Feb 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee Haiyang Yu Jian Zhang V. Ioannidis Xiang Song Soji Adeshina Da Zheng Christos Faloutsos 27 1 0 12 Feb 2024
Temporal-Spatial Processing of Event Camera Data via Delay-Loop Reservoir Neural Network Richard Lau Anthony Tylan-Tyler Lihan Yao Roberto Rey-de-Castro Robert Taylor Isaiah Jones 18 0 0 12 Feb 2024
TREET: TRansfer Entropy Estimation via Transformers Omer Luxembourg Dor Tsur H. Permuter 24 1 0 10 Feb 2024
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation Viktor Nilsson Anirban Samaddar Sandeep Madireddy Pierre Nyquist 29 2 0 08 Feb 2024
S $Ω$ I: Score-based O-INFORMATION Estimation Mustapha Bounoua Giulio Franzese Pietro Michiardi 23 1 0 08 Feb 2024
Machine Unlearning for Image-to-Image Generative Models Guihong Li Hsiang Hsu Chun-Fu Chen R. Marculescu MU VLM 70 25 0 01 Feb 2024
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning Yao-Hung Tsai Walter Talbott Jian Zhang LLMAG 16 4 0 01 Feb 2024
Generalization of LiNGAM that allows confounding Joe Suzuki Tian-Le Yang 30 1 0 30 Jan 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition Yuchen Hu Chen Chen Chao-Han Huck Yang Ruizhe Li Chao Zhang Pin-Yu Chen Ensiong Chng 27 20 0 19 Jan 2024
An Information Theoretic Approach to Interaction-Grounded Learning Xiaoyan Hu Farzan Farnia Ho-fung Leung VLM 27 2 0 10 Jan 2024
Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives Yuanwei Bi Zhongliang Jiang Felix Duelmer Dianye Huang Nassir Navab 41 18 0 04 Jan 2024
Causal State Distillation for Explainable Reinforcement Learning Wenhao Lu Xufeng Zhao Thilo Fryen Jae Hee Lee Mengdi Li S. Magg Stefan Wermter CML 41 2 0 30 Dec 2023
Density estimation using the perceptron P. R. Gerber Tianze Jiang Yury Polyanskiy Rui Sun 32 0 0 29 Dec 2023
Structured Probabilistic Coding Dou Hu Lingwei Wei Yaxin Liu Wei Zhou Songlin Hu 21 1 0 21 Dec 2023
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu Zhi Wang Yan Zheng Jianye Hao Chenjia Bai Junjie Ye Zhen Wang Haiyin Piao Yang Sun 29 6 0 19 Dec 2023
SECap: Speech Emotion Captioning with Large Language Model Yaoxun Xu Hangting Chen Jianwei Yu Qiaochu Huang Zhiyong Wu Shixiong Zhang Guangzhi Li Yi Luo Rongzhi Gu 30 22 0 16 Dec 2023
Understanding Probe Behaviors through Variational Bounds of Mutual Information Kwanghee Choi Jee-weon Jung Shinji Watanabe SSL 27 4 0 15 Dec 2023
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach Ziliang Chen Yongsen Zheng Zhao-Rong Lai Quanlong Guan Liang Lin CML 31 1 0 15 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Li Ruoming Jin Bin Ren 23 4 0 13 Dec 2023
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks Caridad Arroyo Arevalo Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 52 13 0 12 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 21 0 0 08 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 29 2 0 08 Dec 2023
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy Danqi Liao Chen Liu Benjamin W. Christensen Alexander Tong Guillaume Huguet Guy Wolf Maximilian Nickel Ian M. Adelstein Smita Krishnaswamy DiffM 55 5 0 04 Dec 2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury Nicholas Monath Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 32 4 0 30 Nov 2023
Limit Distribution Theory for Quantum Divergences Sreejith Sreekumar Mario Berta 26 2 0 22 Nov 2023
Machine learning phase transitions: Connections to the Fisher information Julian Arnold Niels Lörch Flemming Holtorf Frank Schafer 21 6 0 17 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 17 2 0 13 Nov 2023
Variational Weighting for Kernel Density Ratios Sangwoong Yoon Frank C. Park Gunsu S Yun Iljung Kim Yung-Kyun Noh 17 0 0 06 Nov 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 57 33 0 02 Nov 2023
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories Kai Yan A. Schwing Yu-xiong Wang OffRL 32 5 0 02 Nov 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems Jung-Woo Chang Ke Sun Nasimeh Heydaribeni Seira Hidano Xinyu Zhang F. Koushanfar AAML 17 1 0 01 Nov 2023
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning Tianyue Chu Mengwei Yang Nikolaos Laoutaris A. Markopoulou 39 4 0 30 Oct 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 33 34 0 29 Oct 2023
Specify Robust Causal Representation from Mixed Observations Mengyue Yang Xin-Qiang Cai Furui Liu Weinan Zhang Jun Wang CML OOD 23 7 0 21 Oct 2023
On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery Fateme Jamshidi Luca Ganassali Negar Kiyavash 20 4 0 20 Oct 2023
Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Xiang Wang Xiangnan He 32 24 0 17 Oct 2023
On the Properties and Estimation of Pointwise Mutual Information Profiles Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 27 1 0 16 Oct 2023
MINDE: Mutual Information Neural Diffusion Estimation Giulio Franzese Mustapha Bounoua Pietro Michiardi DiffM 19 7 0 13 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
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 23 3 0 08 Oct 2023
Measuring Information in Text Explanations Zining Zhu Frank Rudzicz FAtt 29 0 0 06 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk LM&MA OOD 40 4 0 05 Oct 2023
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses Eslam Abdelaleem I. Nemenman K. M. Martini 30 5 0 05 Oct 2023
Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation Shihao Zou Xianying Huang Xudong Shen 19 8 0 04 Oct 2023