Cover Image

Regularity of the score function in generative models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Stéphanovitch, Arthur
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalization bounds for score-based generative models: a synthetic proof
by: Stéphanovitch, Arthur, et al.
Published: (2025)

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

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities
by: Stéphanovitch, Arthur
Published: (2026)

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

Statistical Analysis of Markovian Generative Modeling
by: Aamari, Eddie, et al.
Published: (2026)

Wasserstein GANs are Minimax Optimal Distribution Estimators
by: Stéphanovitch, Arthur, et al.
Published: (2023)

An analysis of the noise schedule for score-based generative models
by: Strasman, Stanislas, et al.
Published: (2024)

Regularized geometric quantiles and universal linear distribution functionals
by: Konen, Dimitri, et al.
Published: (2026)

The entropic optimal (self-)transport problem: Limit distributions for decreasing regularization with application to score function estimation
by: Mordant, Gilles
Published: (2024)

General weighted information and relative information generating functions with properties
by: Saha, Shital, et al.
Published: (2023)

Regularized zero-inflated Bernoulli regression model
by: Ndoye, Mouhamed, et al.
Published: (2025)

New density/likelihood representations for Gibbs models based on generating functionals of point processes
by: Cronie, Ottmar
Published: (2024)

Convergence Analysis of function-on-function Polynomial regression model
by: Gupta, Naveen, et al.
Published: (2025)

A goodness-of-fit test for the logistic propensity score model under nonignorable missing data
by: Cheng, Manli, et al.
Published: (2026)

Regularization can make diffusion models more efficient
by: Taheri, Mahsa, et al.
Published: (2025)

Reconciling common source, specific source, feature based and score based likelihood ratios
by: Boonstra, Aafko, et al.
Published: (2024)

Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation
by: Yakovlev, Konstantin, et al.
Published: (2025)

Locally Regular and Efficient Tests in Non-Regular Semiparametric Models
by: Lee, Adam
Published: (2024)

Learning Coefficients in Semi-Regular Models
by: Kurumadani, Yuki
Published: (2024)

On the Kolmogorov Superposition Theorem and Regular Means
by: de Carvalho, Miguel
Published: (2026)

Expected Kullback-Leibler-based characterizations of score-driven updates
by: de Punder, Ramon, et al.
Published: (2024)

Minimax estimation of functionals in sparse vector model with correlated observations
by: Wang, Yuhao, et al.
Published: (2024)

Proper scoring rules for estimation and forecast evaluation
by: Waghmare, Kartik, et al.
Published: (2025)

Survival Analysis with Graph-Based Regularization for Predictors
by: Xie, Liyan, et al.
Published: (2021)

Uncertainty of high-dimensional genetic data prediction with polygenic risk scores
by: Fu, Haoxuan, et al.
Published: (2024)

Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable
by: Kwon, Hyeok Kyu, et al.
Published: (2023)

Regularization Using Synthetic Data in High-Dimensional Models
by: Li, Weihao, et al.
Published: (2024)

Optimal Rates for Functional Linear Regression with General Regularization
by: Gupta, Naveen, et al.
Published: (2024)

Gaussian approximation for maximum score and non-smooth M-estimators with multiway dependence
by: Chiang, Harold D., et al.
Published: (2026)

The geometry of Stein's method of moments: A canonical decomposition via score matching
by: Nagai, Mitsuki, et al.
Published: (2026)

Locally tail-scale invariant scoring rules for evaluation of extreme value forecasts
by: Olafsdottir, Helga Kristin, et al.
Published: (2023)

Optimal score estimation via empirical Bayes smoothing
by: Wibisono, Andre, et al.
Published: (2024)

Bayesian Global-Local Regularization
by: Datta, Jyotishka, et al.
Published: (2025)

Covariate-informed reconstruction of partially observed functional data via factor models
by: Ofner, Maximilian, et al.
Published: (2023)

Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity
by: Yeon, Hyemin, et al.
Published: (2023)

Testing hypotheses generated by constraints
by: Larsson, Martin, et al.
Published: (2025)

Regularized Learning for Fractional Brownian Motion via Path Signatures
by: Mohaddes, Ali, et al.
Published: (2025)

Minimax Optimal Estimation of Mean and Covariance Functions with Spectral Regularization
by: Gupta, Naveen, et al.
Published: (2026)

Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models
by: Purkayastha, Soumik, et al.
Published: (2023)

Flow-based generative models as iterative algorithms in probability space
by: Xie, Yao, et al.
Published: (2025)