:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Koike, Yuta
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Probability 65C30, 62E17, 60H10
Accès en ligne:	https://arxiv.org/abs/2605.18040
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process
par: Koike, Yuta
Publié: (2026)

Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent
par: Delgado-Vences, Francisco, et autres
Publié: (2026)

Noise estimation of SDE from a single data trajectory
par: Ali, Munawar, et autres
Publié: (2025)

Heterogeneous diffusion process with power-law nonlinearity
par: Cardona, Jorge E., et autres
Publié: (2025)

Nonparametric learning of stochastic differential equations from sparse and noisy data
par: Ganguly, Arnab, et autres
Publié: (2025)

Branched Signature Model
par: Ali, Munawar, et autres
Publié: (2025)

High-dimensional bootstrap and asymptotic expansion
par: Koike, Yuta
Publié: (2024)

Probabilistic Zero Bounds of Certain Random Polynomials
par: Sheikh, Sajad A., et autres
Publié: (2026)

A probabilistic interpretation of a non-conservative and path-dependent nonlinear reaction-advection-diffusion system
par: Morale, Daniela, et autres
Publié: (2024)

Stable generative modeling using Schrödinger bridges
par: Gottwald, Georg A., et autres
Publié: (2024)

Modeling Unknown Stochastic Dynamical System via Autoencoder
par: Xu, Zhongshu, et autres
Publié: (2023)

Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems
par: Chen, Yuan, et autres
Publié: (2024)

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
par: Sturm, Stephan
Publié: (2025)

Orthogonal gamma-based expansion for the CIR's first passage time distribution
par: Di Nardo, Elvira, et autres
Publié: (2024)

A note on the equivalence between the conditional uncorrelation and the independence of random variables
par: Jaworski, Piotr, et autres
Publié: (2022)

Adaptive generative moment matching networks for improved learning of dependence structures
par: Hofert, Marius, et autres
Publié: (2025)

Extropy Rate: Properties and Application in Feature Selection
par: Kumar, Naveen, et autres
Publié: (2025)

Learning interacting particle systems from unlabeled data
par: Wei, Viska, et autres
Publié: (2026)

Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R
par: Prass, Taiane Schaedler, et autres
Publié: (2025)

Splitting methods for stochastic Hodgkin-Huxley type systems and a localized fundamental mean-square convergence theorem
par: Étoré, Pierre, et autres
Publié: (2026)

Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures
par: Baldassari, Lorenzo, et autres
Publié: (2026)

A new numerical scheme for Itô stochastic differential equations based on Wick-type Wong-Zakai arguments
par: Lanconelli, Alberto, et autres
Publié: (2024)

Weak-Form Recovery of Stochastic Generators and Dynamical Invariants
par: A, Eshwar R, et autres
Publié: (2026)

Concentration analysis of multivariate elliptic diffusion processes
par: Aeckerle-Willems, Cathrine, et autres
Publié: (2022)

Dimension reduction for large-scale stochastic systems with non-zero initial states and controlled diffusion
par: Redmann, Martin
Publié: (2024)

Numerical schemes for radial Dunkl processes
par: Ngo, Hoang-Long, et autres
Publié: (2024)

Strong order 1 adaptive approximation of jump-diffusion SDEs with discontinuous drift
par: Schwarz, Verena
Publié: (2025)

Simplest random walk for approximating Robin boundary value problems and ergodic limits of reflected diffusions
par: Leimkuhler, B., et autres
Publié: (2020)

Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics
par: Baldassari, Lorenzo, et autres
Publié: (2026)

Quantifying a convergence theorem of Gyöngy and Krylov
par: Dareiotis, Konstantinos, et autres
Publié: (2021)

Localized Schrödinger Bridge Sampler
par: Gottwald, Georg A., et autres
Publié: (2024)

Spatio-temporal probabilistic forecast using MMAF-guided learning
par: Bardi, Leonardo, et autres
Publié: (2026)

Modeling Unknown Stochastic Dynamical System Subject to External Excitation
par: Chen, Yuan, et autres
Publié: (2024)

The envelope of a complex Gaussian random variable
par: Ghosal, Sattwik, et autres
Publié: (2023)

A Tail-Respecting Explicit Numerical Scheme for Lévy-Driven SDEs With Superlinear Drifts
par: Aryasova, Olga, et autres
Publié: (2025)

Stochastic conformal integrators for linearly damped stochastic Poisson systems
par: Bréhier, Charles-Edouard, et autres
Publié: (2025)

Sampling from mixture distributions based on regime-switching diffusions
par: Tretyakov, M. V.
Publié: (2024)

Brownian Convergence of Planar Domains and Stability of the Planar Skorokhod Embedding Problem
par: Boudabra, Maher, et autres
Publié: (2026)

Concentration Inequalities for Statistical Inference
par: Zhang, Huiming, et autres
Publié: (2020)

Characteristic function and Esscher transform of a switching Levy model for the temperature dynamic
par: Jabbari, Rofeide, et autres
Publié: (2024)