Reverse-time diffusion processes in discrete time
| dc.contributor.author | Dasgupta, Soura | en |
| dc.contributor.author | Anderson, Brian D. O. | en |
| dc.date.accessioned | 2026-02-04T12:41:10Z | |
| dc.date.available | 2026-02-04T12:41:10Z | |
| dc.date.issued | 2025 | en |
| dc.description.abstract | Generative AI relies on finding reverse models for linear discrete time forward diffusions with non-Gaussian initial states, but uses indirect methods for reversal as there is no theory for direct reversal in discrete time. We give sufficient conditions that guarantee the existence of a reverse time diffusion and give a method of meeting them. We also give a necessary and sufficient condition for the reverse model to be input-affine. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 6 | en |
| dc.identifier.isbn | 979-8-3315-2627-6 | en |
| dc.identifier.other | dblp:conf/cdc/DasguptaA25 | en |
| dc.identifier.other | ORCID:/0000-0002-1493-4774/work/204381149 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733805261 | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | Proceedings of 64th IEEE Conference on Decision and Control | en |
| dc.rights | © 2025 IEEE | en |
| dc.title | Reverse-time diffusion processes in discrete time | en |
| dc.type | Conference paper | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 5492 | en |
| local.bibliographicCitation.startpage | 5487 | en |
| local.contributor.affiliation | Dasgupta, Soura; University of Iowa | en |
| local.contributor.affiliation | Anderson, Brian D. O.; School of Engineering, ANU College of Systems and Society, The Australian National University | en |
| local.identifier.doi | 10.1109/CDC57313.2025.11312217 | en |
| local.identifier.pure | 9fd3c61b-dcfd-4ff2-96db-80a7a276e89e | en |
| local.type.status | Published | en |