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Improving Mutual Information Estimation with Annealed and Energy-Based
  Bounds

Improving Mutual Information Estimation with Annealed and Energy-Based Bounds

13 March 2023
Rob Brekelmans
Sicong Huang
Marzyeh Ghassemi
Greg Ver Steeg
Roger C. Grosse
Alireza Makhzani
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "Improving Mutual Information Estimation with Annealed and Energy-Based Bounds"

13 / 13 papers shown
MMG: Mutual Information Estimation via the MMSE Gap in Diffusion
MMG: Mutual Information Estimation via the MMSE Gap in Diffusion
Longxuan Yu
Xing Shi
Xianghao Kong
Tong Jia
Greg Ver Steeg
DiffM
276
0
0
24 Sep 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti
Giulio Franzese
Pietro Michiardi
490
2
0
26 Feb 2025
Information Theoretic Text-to-Image Alignment
Information Theoretic Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Massimo Gallo
Pietro Michiardi
824
5
0
31 May 2024
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon
  Divergence Between Initial and Target Distribution
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Johannes Zenn
Kushagra Pandey
232
0
0
23 May 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte
  Carlo
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao
Rob Brekelmans
Alireza Makhzani
Roger C. Grosse
318
58
0
26 Apr 2024
MINDE: Mutual Information Neural Diffusion Estimation
MINDE: Mutual Information Neural Diffusion EstimationInternational Conference on Learning Representations (ICLR), 2023
Giulio Franzese
Mustapha Bounoua
Pietro Michiardi
DiffM
385
20
0
13 Oct 2023
Interpretable Diffusion via Information Decomposition
Interpretable Diffusion via Information DecompositionInternational Conference on Learning Representations (ICLR), 2023
Xianghao Kong
Ollie Liu
Han Li
Dani Yogatama
Greg Ver Steeg
585
35
0
12 Oct 2023
Provable benefits of annealing for estimating normalizing constants:
  Importance Sampling, Noise-Contrastive Estimation, and beyond
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyondNeural Information Processing Systems (NeurIPS), 2023
O. Chehab
Aapo Hyvarinen
Andrej Risteski
409
16
0
05 Oct 2023
Optimizing the Noise in Self-Supervised Learning: from Importance
  Sampling to Noise-Contrastive Estimation
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation
O. Chehab
Alexandre Gramfort
Aapo Hyvarinen
SSL
334
3
0
23 Jan 2023
Mutual Information Regularized Offline Reinforcement Learning
Mutual Information Regularized Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Xiao Ma
Bingyi Kang
Zhongwen Xu
Min Lin
Shuicheng Yan
OffRL
307
11
0
14 Oct 2022
Variational Representations of Annealing Paths: Bregman Information
  under Monotonic Embedding
Variational Representations of Annealing Paths: Bregman Information under Monotonic EmbeddingInformation Geometry (IG), 2022
Rob Brekelmans
Frank Nielsen
315
3
0
15 Sep 2022
Score-Based Diffusion meets Annealed Importance Sampling
Score-Based Diffusion meets Annealed Importance SamplingNeural Information Processing Systems (NeurIPS), 2022
Arnaud Doucet
Will Grathwohl
A. G. Matthews
Heiko Strathmann
DiffM
434
59
0
16 Aug 2022
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre
  Optimization
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo
Junya Chen
Dong Wang
Yuewei Yang
Xinwei Deng
Lawrence Carin
Fan Li
Jing-Zheng Huang
Chenyang Tao
382
24
0
02 Jul 2021
1
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