Oops I Took A Gradient: Scalable Sampling for Discrete Distributions

Oops I Took A Gradient: Scalable Sampling for Discrete Distributions

8 February 2021

Chris J. Maddison

Papers citing "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"

11 / 11 papers shown

Title
Discrete Neural Flow Samplers with Locally Equivariant Transformer Zijing Ou Ruixiang Zhang Yingzhen Li 22 0 0 23 May 2025
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Maria Lukarska Ishan Gaur Luke M. Oltrogge David F. Savage Jennifer Listgarten DiffM 87 1 0 07 May 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Lea Bogensperger Sebastian Kaltenbach Petros Koumoutsakos Bjoern Menze DiffM 86 2 0 14 Apr 2025
Enhancing Gradient-based Discrete Sampling via Parallel Tempering Luxu Liang Yuhang Jia Feng Zhou 77 0 0 26 Feb 2025
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff Junhao Xiong Stephan Allenspach Jennifer Listgarten 78 37 0 03 Jun 2024
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 41 71 0 08 Oct 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 50 536 0 06 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 121 3,803 0 12 Jul 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 25 154 0 29 Mar 2019
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 42 1,082 0 16 Aug 2016
Adaptive Gibbs samplers and related MCMC methods K. Latuszyñski Gareth O. Roberts Jeffrey S. Rosenthal 65 88 0 31 Jan 2011