Solving Schrödinger Bridges via Maximum Likelihood

Solving Schrödinger Bridges via Maximum Likelihood

3 June 2021

Francisco Vargas

Pierre Thodoroff

Neil D. Lawrence

Papers citing "Solving Schrödinger Bridges via Maximum Likelihood"

17 / 17 papers shown

Title
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 64 29 0 13 Mar 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 39 0 0 04 Oct 2024
$BM$^2$: Coupled Schr\"{o}dinger Bridge Matching$ BM $^2$ : Coupled Schr\"{o}dinger Bridge Matching Stefano Peluchetti OT 26 0 0 14 Sep 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 32 1 0 28 Jun 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng Yu Chen Nicole Tianjiao Yang Hengrong Du Qi Feng Ricky T. Q. Chen 21 7 0 06 Jan 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 27 2 0 02 Oct 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 51 65 0 29 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 20 9 0 03 Mar 2023
Aligned Diffusion Schrödinger Bridges Vignesh Ram Somnath Matteo Pariset Ya-Ping Hsieh María Rodríguez Martínez Andreas Krause Charlotte Bunne DiffM 100 30 0 22 Feb 2023
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 33 36 0 02 Nov 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 33 842 0 07 Sep 2022
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks Zhi-Ling Dong Pawel Polak PINN 19 1 0 18 Aug 2022
Riemannian Diffusion Schrödinger Bridge James Thornton M. Hutchinson Emile Mathieu Valentin De Bortoli Yee Whye Teh Arnaud Doucet DiffM 22 7 0 07 Jul 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 208 51 0 27 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 20 412 0 29 Apr 2022
Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics Takeshi Koshizuka Issei Sato 24 6 0 11 Apr 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 13 51 0 27 Feb 2022