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Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

15 March 2023
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
    DiffM
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Papers citing "Stochastic Interpolants: A Unifying Framework for Flows and Diffusions"

2 / 52 papers shown
Title
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs
  Theory
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
T. Chen
Guan-Horng Liu
Evangelos A. Theodorou
DiffM
OT
174
164
0
21 Oct 2021
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
119
95
0
10 Dec 2020
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