Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity

21 June 2021

Yuling Jiao

Papers citing "Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity"

22 / 22 papers shown

Title
An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control Mengjian Hua Matthieu Laurière Eric Vanden-Eijnden 21 3 0 07 Oct 2024
Plug-in estimation of Schrödinger bridges Aram-Alexandre Pooladian Jonathan Niles-Weed DiffM OT 27 1 0 21 Aug 2024
One-step data-driven generative model via Schrödinger Bridge Hanwen Huang DiffM 29 4 0 21 May 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes Yifan Chen Mark Goldstein Mengjian Hua M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden AI4TS 19 16 0 20 Mar 2024
Weak approximation of Schrödinger-Föllmer diffusion Koya Endo Yumiharu Nakano 14 0 0 06 Mar 2024
Soft-constrained Schrodinger Bridge: a Stochastic Control Approach Jhanvi Garg Xianyang Zhang Quan Zhou DiffM OT 35 0 0 04 Mar 2024
Stochastic Localization via Iterative Posterior Sampling Louis Grenioux Maxence Noble Marylou Gabrié Alain Durmus DiffM 36 12 0 16 Feb 2024
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm Mohammad Reza Karimi Ya-Ping Hsieh Andreas Krause 26 1 0 28 Nov 2023
Reverse Diffusion Monte Carlo Xunpeng Huang Hanze Dong Yi Hao Yi-An Ma Tong Zhang DiffM 24 23 0 05 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 40 3 0 03 Jul 2023
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models Francisco Vargas Teodora Reu A. Kerekes Michael M Bronstein DiffM 35 1 0 16 May 2023
Efficient Multimodal Sampling via Tempered Distribution Flow Yixuan Qiu Xiao Wang OT 25 2 0 08 Apr 2023
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye Lemeng Wu Qiang Liu DiffM 11 18 0 02 Sep 2022
Unbiased Estimation using a Class of Diffusion Processes Hamza Ruzayqat A. Beskos Dan Crisan Ajay Jasra N. Kantas 13 9 0 06 Mar 2022
The Schrödinger Bridge between Gaussian Measures has a Closed Form Charlotte Bunne Ya-Ping Hsieh Marco Cuturi Andreas Krause OT 17 40 0 11 Feb 2022
Bayesian Learning via Neural Schrödinger-Föllmer Flows Francisco Vargas Andrius Ovsianas David Fernandes Mark Girolami Neil D. Lawrence Nikolas Nusken BDL 27 45 0 20 Nov 2021
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure George Deligiannidis Valentin De Bortoli Arnaud Doucet 11 24 0 18 Aug 2021
Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity Yuling Jiao Lican Kang Yanyan Liu Youzhou Zhou OT 6 6 0 10 Jul 2021
Solving Schrödinger Bridges via Maximum Likelihood Francisco Vargas Pierre Thodoroff Neil D. Lawrence A. Lamacraft OT 11 130 0 03 Jun 2021
Coupling and Convergence for Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle Raphael Zimmer 73 135 0 01 May 2018
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 53 232 0 11 Jul 2016
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012