Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 20 min ago
PreprintCC BY-NC-SA 4.0arXiv

A priori regularity of the reverse heat flow and dimension-dependent complexity of higher-order diffusion samplers

Abstract

We establish arbitrary-order a priori regularity estimates for the reverse heat flow in the Ornstein--Uhlenbeck setting, that is, for the probability-flow ODE of score-based diffusion models. For compactly supported, possibly singular targets satisfying a dimension-uniform doubling condition on supporting-cap masses, we bound the iterated material derivatives of the flow and their first spatial derivatives pointwise, with constants independent of the dimension d and explicit in time and support radius. The proof rests on two ingredients: a spatially uniform bound on normal-direction posterior fluctuations, which is the only point where the geometry of the target enters, and a centered posterior-moment normal form closed under material differentiation. This algebraic structure, together with a weighted regularity calculus, yields quantitative bounds at every order, including the mixed space--time directional derivatives required by Runge--Kutta stages. As an application, for exact-score sampling stopped at forward time δ>0, order-p Taylor and explicit Runge--Kutta schemes reach accuracy ε in Õ(d1/pε−1/p) steps in total variation, and the Taylor scheme in Õ(d1/(2p)ε−1/p) steps in W2.

Related

  1. Absence of gelation and regularity for coagulation-fragmentation-diffusion equations with critical coagulation rate in low dimension
    Hector Bouton
    HALPreprintCC BY 4.0Full textAnalysis & PDEsHALarXiv
  2. Windowed thinning and query complexity for the bouncy particle and Zigzag samplers
    Jianfeng Lu, Yinchen Luo
    arXivPreprintCC BY 4.0Full textNumerical analysis & scientific computingProbabilityarXiv
  3. Spectral Analysis Beyond the Spectral Gap: Rapid Mixing of Quantum Gibbs Samplers in One Dimension
    Hongrui Chen, Zhiyan Ding
    arXivPreprintarXiv licenceFull textMathematical physicsQuantum physics & quantum informationarXiv
  4. Direct Intermediate Initialization for Tilted Diffusion Samplers
    Gregory D. Bellchambers
    arXivPreprintCC BY-NC-SA 4.0Full textStatisticsarXiv
  5. Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling
    Arman Adibi, Alireza Jafari, Mohammad Ghavamzadeh +1
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
BibTeX
@misc{wang2026priori,
  title = {{A priori regularity of the reverse heat flow and dimension-dependent complexity of higher-order diffusion samplers}},
  author = {Xixian Wang and Zhongjian Wang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.24622},
  eprint = {2609.24622},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.24622},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - A priori regularity of the reverse heat flow and dimension-dependent complexity of higher-order diffusion samplers
AU  - Xixian Wang
AU  - Zhongjian Wang
PY  - 2026
DA  - 2026/09/21
PB  - arXiv
DO  - 10.48550/arxiv.2609.24622
UR  - https://arxiv.org/abs/2609.24622
AB  - We establish arbitrary-order a priori regularity estimates for the reverse heat flow in the Ornstein--Uhlenbeck setting, that is, for the probability-flow ODE of score-based diffusion models. For compactly supported, possibly singular targets satisfying a dimension-uniform doubling condition on supporting-cap masses, we bound the iterated material derivatives of the flow and their first spatial derivatives pointwise, with constants independent of the dimension d and explicit in time and support radius. The proof rests on two ingredients: a spatially uniform bound on normal-direction posterior fluctuations, which is the only point where the geometry of the target enters, and a centered posterior-moment normal form closed under material differentiation. This algebraic structure, together with a weighted regularity calculus, yields quantitative bounds at every order, including the mixed space--time directional derivatives required by Runge--Kutta stages. As an application, for exact-score sampling stopped at forward time δ>0, order-p Taylor and explicit Runge--Kutta schemes reach accuracy ε in Õ(d^1/pε^−1/p) steps in total variation, and the Taylor scheme in Õ(d^1/(2p)ε^−1/p) steps in W_2.
ER  -