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Flow Matching for Generative Modeling

Flow Matching for Generative Modeling

6 October 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
    OOD
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Papers citing "Flow Matching for Generative Modeling"

6 / 256 papers shown
Title
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
Chengyi Wang
Sanyuan Chen
Yu-Huan Wu
Zi-Hua Zhang
Long Zhou
...
Huaming Wang
Jinyu Li
Lei He
Sheng Zhao
Furu Wei
48
644
0
05 Jan 2023
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse
  Problems
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng
Y. Kabashima
DiffM
14
52
0
20 Nov 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with
  Conditional Score Based Diffusion Models
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
64
34
0
10 Oct 2022
Matching Normalizing Flows and Probability Paths on Manifolds
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
58
39
0
11 Jul 2022
Riemannian Score-Based Generative Modelling
Riemannian Score-Based Generative Modelling
Valentin De Bortoli
Emile Mathieu
M. Hutchinson
James Thornton
Yee Whye Teh
Arnaud Doucet
DiffM
222
165
0
06 Feb 2022
Instance-Conditioned GAN
Instance-Conditioned GAN
Arantxa Casanova
Marlene Careil
Jakob Verbeek
M. Drozdzal
Adriana Romero Soriano
GAN
209
133
0
10 Sep 2021
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