Improving and generalizing flow-based generative models with minibatch
optimal transport

Improving and generalizing flow-based generative models with minibatch optimal transport

1 February 2023

Nikolay Malkin

Jarrid Rector-Brooks

Guy Wolf

Papers citing "Improving and generalizing flow-based generative models with minibatch optimal transport"

6 / 56 papers shown

Title
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking Gabriele Corso Hannes Stärk Bowen Jing Regina Barzilay Tommi Jaakkola DiffM 136 409 0 04 Oct 2022
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Qiang Liu OT 130 85 0 29 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 50 39 0 11 Jul 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 127 88 0 28 Jan 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 162 0 21 Oct 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 63 53 0 05 Jan 2021