Copertina

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Stéphanovitch, Arthur
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Statistics Theory Probability Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference
di: Stéphanovitch, Arthur
Pubblicazione: (2024)

An extension of McDiarmid's inequality
di: Combes, Richard
Pubblicazione: (2015)

Regularity of the score function in generative models
di: Stéphanovitch, Arthur
Pubblicazione: (2025)

Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
di: Yu, Yifeng, et al.
Pubblicazione: (2026)

The optimal betting wealth growth rate
di: Ram, Ashwin, et al.
Pubblicazione: (2026)

The extended Ville's inequality for nonintegrable nonnegative supermartingales
di: Wang, Hongjian, et al.
Pubblicazione: (2023)

Matching and mixing: Matchability of graphs under Markovian error
di: Li, Zhirui, et al.
Pubblicazione: (2026)

Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators
di: Shi, Zhaoyang, et al.
Pubblicazione: (2024)

Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
di: Li, Matthew T. C., et al.
Pubblicazione: (2024)

Variational Optimality of Föllmer Processes in Generative Diffusions
di: Chen, Yifan, et al.
Pubblicazione: (2026)

Dynamic Structural Causal Models
di: Boeken, Philip, et al.
Pubblicazione: (2024)

Boosting Causal Additive Models
di: Kertel, Maximilian, et al.
Pubblicazione: (2024)

Finite sample bounds for barycenter estimation in geodesic spaces
di: Brunel, Victor-Emmanuel, et al.
Pubblicazione: (2025)

Asymptotic spectrum of weighted sample covariance: another proof of spectrum convergence
di: Oriol, Benoit
Pubblicazione: (2024)

High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
di: Liang, Tengyuan, et al.
Pubblicazione: (2022)

Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
di: Zucker, Shai, et al.
Pubblicazione: (2025)

A Score-Based Density Formula, with Applications in Diffusion Generative Models
di: Li, Gen, et al.
Pubblicazione: (2024)

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model
di: Wortsman-Zurich, Arie, et al.
Pubblicazione: (2026)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities
di: Carpentier, Alexandra, et al.
Pubblicazione: (2025)

Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
di: Dumitriu, Ioana, et al.
Pubblicazione: (2021)

Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model
di: Dumitriu, Ioana, et al.
Pubblicazione: (2023)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II)
di: Carpentier, Alexandra, et al.
Pubblicazione: (2025)

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients
di: Lytras, Iosif, et al.
Pubblicazione: (2025)

Generative model for optimal density estimation on unknown manifold
di: Stéphanovitch, Arthur
Pubblicazione: (2025)

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
di: He, Ye, et al.
Pubblicazione: (2024)

Statistical limits of correlation detection in trees
di: Ganassali, Luca, et al.
Pubblicazione: (2022)

Learning Mixtures of Gaussians Using Diffusion Models
di: Gatmiry, Khashayar, et al.
Pubblicazione: (2024)

Provable Diffusion Posterior Sampling for Bayesian Inversion
di: Chang, Jinyuan, et al.
Pubblicazione: (2025)

Unifying AMP Algorithms for Rotationally-Invariant Models
di: Liu, Songbin, et al.
Pubblicazione: (2024)

Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
di: Zhang, Yihan, et al.
Pubblicazione: (2023)

Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
di: Kovačević, Filip, et al.
Pubblicazione: (2025)

Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
di: Dudeja, Rishabh, et al.
Pubblicazione: (2024)

Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
di: Zhang, Yihan, et al.
Pubblicazione: (2026)

Bayesian Inference with Shaped Deep Non-linear MLPs
di: Hanin, Boris, et al.
Pubblicazione: (2026)

Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
di: Caprio, Michele, et al.
Pubblicazione: (2026)

Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems
di: Saidi, Tristan Luca, et al.
Pubblicazione: (2026)

Power one sequential tests exist for weakly compact $\mathscr P$ against $\mathscr P^c$
di: Ram, Ashwin, et al.
Pubblicazione: (2026)

Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
di: Jaquard, Hugo, et al.
Pubblicazione: (2026)

Low-degree Lower bounds for clustering in moderate dimension
di: Carpentier, Alexandra, et al.
Pubblicazione: (2026)

Schrödinger bridge problem via empirical risk minimization
di: Belomestny, Denis, et al.
Pubblicazione: (2026)