Accurate and Conservative Estimates of MRF Log-likelihood using Reverse
Annealing

Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing

30 December 2014

Roger C. Grosse

Ruslan Salakhutdinov

Papers citing "Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing"

19 / 19 papers shown

Title
Dequantified Diffusion-Schr{ö}dinger Bridge for Density Ratio Estimation Wei Chen Shigui Li Jiacheng Li Junmei Yang John Paisley Delu Zeng DiffM OT 76 0 0 08 May 2025
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 0 0 04 Feb 2025
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 33 3 0 24 May 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 32 133 0 22 Feb 2023
Disentangling representations in Restricted Boltzmann Machines without adversaries Jorge Fernandez-de-Cossio-Diaz Simona Cocco R. Monasson DRL 40 13 0 23 Jun 2022
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 24 15 0 01 Nov 2021
Improving Bridge estimators via $f$ -GAN Hanwen Xing OT 13 3 0 14 Jun 2021
A Brief Introduction to Generative Models Alex Lamb GAN VLM 22 16 0 27 Feb 2021
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 87 16 0 19 Oct 2020
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 35 55 0 07 Nov 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 23 28 0 03 Apr 2017
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 35 254 0 07 Sep 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo Roger C. Grosse Siddharth Ancha Daniel M. Roy 15 26 0 07 Jun 2016
Partition Functions from Rao-Blackwellized Tempered Sampling David Carlson Patrick Stinson Ari Pakman Liam Paninski 28 13 0 07 Mar 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 38 1,236 0 01 Sep 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 94 6,635 0 12 Mar 2015