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Stochastic Localization via Iterative Posterior Sampling

Stochastic Localization via Iterative Posterior Sampling

16 February 2024
Louis Grenioux
Maxence Noble
Marylou Gabrié
Alain Durmus
    DiffM
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Papers citing "Stochastic Localization via Iterative Posterior Sampling"

6 / 6 papers shown
Title
Improving the evaluation of samplers on multi-modal targets
Improving the evaluation of samplers on multi-modal targets
Louis Grenioux
Maxence Noble
Marylou Gabrié
34
0
0
11 Apr 2025
Learned Reference-based Diffusion Sampling for multi-modal distributions
Learned Reference-based Diffusion Sampling for multi-modal distributions
Maxence Noble
Louis Grenioux
Marylou Gabrié
Alain Durmus
DiffM
29
2
0
25 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence
Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He
Wenlin Chen
Mingtian Zhang
David Barber
José Miguel Hernández-Lobato
DiffM
26
4
0
16 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Omar Chehab
Anna Korba
Austin Stromme
Adrien Vacher
23
2
0
13 Oct 2024
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
244
260
0
15 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
123
245
0
22 Sep 2022
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