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Score-Based Metropolis-Hastings Algorithms

31 December 2024

Papers citing "Score-Based Metropolis-Hastings Algorithms"

23 / 23 papers shown

Title
Diffusion-Based Hypothesis Testing and Change-Point Detection Sean Moushegian T. Banerjee Vahid Tarokh 19 0 0 19 Jun 2025
On Cyclical MCMC Sampling Liwei Wang Xinru Liu Aaron Smith Aguemon Y. Atchadé 71 1 0 01 Mar 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm Miguel Biron-Lattes Nikola Surjanovic Saifuddin Syed Trevor Campbell Alexandre Bouchard-Côté 122 12 0 25 Oct 2023
MCMC-Correction of Score-Based Diffusion Models for Model Composition Anders Sjöberg Jakob Lindqvist Magnus Önnheim Mats Jirstrand Lennart Svensson DiffM 92 3 0 26 Jul 2023
Transport Reversible Jump Proposals L. Davies Roberto Salomone Matthew Sutton Christopher C. Drovandi BDL 85 2 0 22 Oct 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 230 279 0 22 Sep 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 324 1,474 0 02 Jun 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 348 30,174 0 01 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 640 15,867 0 20 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 126 237 0 14 Dec 2021
Entropy-based adaptive Hamiltonian Monte Carlo Marcel Hirt Michalis K. Titsias P. Dellaportas BDL 101 7 0 27 Oct 2021
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling Keru Wu S. Schmidler Yuansi Chen 127 54 0 27 Sep 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 585 6,609 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 1.1K 18,551 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 813 10,591 0 17 Feb 2020
Gradient-based Adaptive Markov Chain Monte Carlo Michalis K. Titsias P. Dellaportas BDL 102 22 0 04 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 286 3,973 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 171 419 0 17 May 2019
Log-concave sampling: Metropolis-Hastings algorithms are fast Raaz Dwivedi Yuansi Chen Martin J. Wainwright Bin Yu 122 255 0 08 Jan 2018
A-NICE-MC: Adversarial Training for MCMC Jiaming Song Shengjia Zhao Stefano Ermon BDL OOD 127 110 0 23 Jun 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 279 3,731 0 26 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.7K 195,301 0 10 Dec 2015
Spectral gaps for a Metropolis-Hastings algorithm in infinite dimensions Martin Hairer Andrew M. Stuart Sebastian J. Vollmer 147 188 0 06 Dec 2011