Adjoint Schrödinger Bridge Sampler

NeurIPSOral2025

Authors
Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen
Affiliation
FAIR, Meta AI
Venue
NeurIPS 2025
Track
Oral

TL;DR

Computational methods for learning to sample from the Boltzmann distribution—where the target distribution is known only up to an unnormalized energy function—have advanced significantly recently. Due to the lack of explicit target samples, however, prior diffusion-based methods, known as _diffusion samplers_, often require importance-weighted esti…

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Topics

diffusion

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