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Control Consistency Losses for Diffusion Bridges

Published 1 day agoVersion 1arXiv:2512.05070

Authors

Samuel Howard, Nikolas Nüsken, Jakiw Pidstrigach

Categories

stat.MLcs.LG

Abstract

Simulating the conditioned dynamics of diffusion processes, given their initial and terminal states, is an important but challenging problem in the sciences. The difficulty is particularly pronounced for rare events, for which the unconditioned dynamics rarely reach the terminal state. In this work, we leverage a self-consistency property of the conditioned dynamics to learn the diffusion bridge in an iterative online manner, and demonstrate promising empirical results in a range of settings.

Control Consistency Losses for Diffusion Bridges

1 day ago
v1
3 authors

Categories

stat.MLcs.LG

Abstract

Simulating the conditioned dynamics of diffusion processes, given their initial and terminal states, is an important but challenging problem in the sciences. The difficulty is particularly pronounced for rare events, for which the unconditioned dynamics rarely reach the terminal state. In this work, we leverage a self-consistency property of the conditioned dynamics to learn the diffusion bridge in an iterative online manner, and demonstrate promising empirical results in a range of settings.

Authors

Samuel Howard, Nikolas Nüsken, Jakiw Pidstrigach

arXiv ID: 2512.05070
Published Dec 4, 2025

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