Connecting SPDE to SGMs

Fuente: arXiv
Saved in:
Bibliographic Details
Main Author: Seo, Junsu
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908519357218816
author Seo, Junsu
author_facet Seo, Junsu
contents This paper investigates a Stochastic Partial Differential Equation (SPDE) derived from the Fokker-Planck equation associated with Score-based Generative Models. We modify the standard Fokker-Planck equation to better represent practical SGMs and introduce noise to mitigate potential discretization issues. The primary goal is to prove the existence and uniqueness of solutions for this SPDE. This aspect requires careful consideration due to the time-dependent operator and unbounded domain. To overcome these hurdles, we employ a variational approach and introduce a novel space inspired by Ornstein-Uhlenbeck operators. By demonstrating that this space and its subspace satisfy the necessary assumptions, they establish the existence of a solution for the given SPDE.
format Preprint
id arxiv_https___arxiv_org_abs_2501_08877
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Connecting SPDE to SGMs
Seo, Junsu
Analysis of PDEs
Probability
60H15 (Primary) 35R60, 60J60 (Secondary)
This paper investigates a Stochastic Partial Differential Equation (SPDE) derived from the Fokker-Planck equation associated with Score-based Generative Models. We modify the standard Fokker-Planck equation to better represent practical SGMs and introduce noise to mitigate potential discretization issues. The primary goal is to prove the existence and uniqueness of solutions for this SPDE. This aspect requires careful consideration due to the time-dependent operator and unbounded domain. To overcome these hurdles, we employ a variational approach and introduce a novel space inspired by Ornstein-Uhlenbeck operators. By demonstrating that this space and its subspace satisfy the necessary assumptions, they establish the existence of a solution for the given SPDE.
title Connecting SPDE to SGMs
topic Analysis of PDEs
Probability
60H15 (Primary) 35R60, 60J60 (Secondary)
url https://arxiv.org/abs/2501.08877