aalto1 untyped-item.component.html
Conditioning diffusion models by explicit forward-backward bridging
Loading...
Access rights
openAccess
CC BY
CC BY
Creative Commons license
Except where otherwised noted, this item's license is described as openAccess
publishedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Date
Major/Subject
Mcode
Degree programme
Language
en
Pages
9
Series
Proceedings of Machine Learning Research, Volume 258, pp. 3709-3717
Abstract
Given an unconditional diffusion model targeting a joint model π(x, y), using it to perform conditional simulation π(x | y) is still largely an open question and is typically achieved by learning conditional drifts to the denoising SDE after the fact. In this work, we express exact conditional simulation within the approximate diffusion model as an inference problem on an augmented space corresponding to a partial SDE bridge. This perspective allows us to implement efficient and principled particle Gibbs and pseudo-marginal samplers marginally targeting the conditional distribution π(x | y). Contrary to existing methodology, our methods do not introduce any additional approximation to the unconditional diffusion model aside from the Monte Carlo error. We showcase the benefits and drawbacks of our approach on a series of synthetic and real data examples.
Description
Publisher Copyright: Copyright 2025 by the author(s).
Keywords
Other note
Citation
Corenflos, A, Zhao, Z, Särkkä, S, Sjölund, J & Schön, T B 2025, 'Conditioning diffusion models by explicit forward-backward bridging', Proceedings of Machine Learning Research, vol. 258, pp. 3709-3717. < https://raw.githubusercontent.com/mlresearch/v258/main/assets/corenflos25a/corenflos25a.pdf >