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Author

Sarthak Mittal

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#machine learning May 2024

Amortizing intractable inference in diffusion models for vision, language, and control

Amortized sampling of the posterior over data is studied, and the asymptotic correctness of a data-free learning objective, relative trajectory balance, is proved for training a diffusion model that samples from this posterior, a problem that existing methods solve only approximately or in restricted cases.

S. Venkatraman, Moksh Jain, Luca Scimeca et al. · 75 citations · ⚡5
#machine learning Feb 2024

Improved off-policy training of diffusion samplers

This work benchmarks several diffusion-structured inference methods, including simulation-based variational approaches and off-policy methods (continuous generative flow networks), and proposes a novel exploration strategy for off-policy methods, based on local search in the target space with the use of a replay buffer.

Marcin Sendera, Minsu Kim, Sarthak Mittal et al. · 52 citations · ⚡7