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A Good Score Does not Lead to A Good Generative Model

A Good Score Does not Lead to A Good Generative Model

10 January 2024
Sixu Li
Shi Chen
Qin Li
    DiffM
ArXivPDFHTML

Papers citing "A Good Score Does not Lead to A Good Generative Model"

4 / 4 papers shown
Title
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
DiffM
222
115
0
15 Mar 2023
Diffusion Models are Minimax Optimal Distribution Estimators
Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko
Shunta Akiyama
Taiji Suzuki
DiffM
39
49
0
03 Mar 2023
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
107
167
0
22 Sep 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
148
537
0
27 May 2022
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