Minimum Probability Flow Learning

25 June 2009

Papers citing "Minimum Probability Flow Learning"

10 / 10 papers shown

Title
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 42 9 0 30 Jul 2024
Discrete Langevin Sampler via Wasserstein Gradient Flow Haoran Sun H. Dai Bo Dai Haomin Zhou Dale Schuurmans BDL 34 19 0 29 Jun 2022
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates G. Reinert Yvik Swan 22 35 0 07 May 2021
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 19 90 0 19 Jun 2019
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 20 313 0 07 May 2016
Partition Functions from Rao-Blackwellized Tempered Sampling David Carlson Patrick Stinson Ari Pakman Liam Paninski 20 13 0 07 Mar 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 33 6,576 0 12 Mar 2015
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods Jascha Narain Sohl-Dickstein Ben Poole Surya Ganguli ODL 45 125 0 09 Nov 2013
MCMC using Hamiltonian dynamics Radford M. Neal 170 3,260 0 09 Jun 2012
The Natural Gradient by Analogy to Signal Whitening, and Recipes and Tricks for its Use Jascha Narain Sohl-Dickstein 49 10 0 08 May 2012