:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xia, Mingtao, Shen, Qijing
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Numerical Analysis Probability 60-08, 60A99, 62M45
Online Access:	https://arxiv.org/abs/2511.13977
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A generalized Wasserstein-2 distance approach for efficient reconstruction of random field models using stochastic neural networks
by: Xia, Mingtao, et al.
Published: (2025)

A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty
by: Xia, Mingtao, et al.
Published: (2024)

Statistical inference for a multiscale stochastic model of enzyme kinetics via propagation of chaos
by: Ganguly, Arnab, et al.
Published: (2024)

A Robbins--Monro Sequence That Can Exploit Prior Information For Faster Convergence
by: Liu, Siwei, et al.
Published: (2024)

Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
by: Lee, Hoil, et al.
Published: (2022)

In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods
by: Benning, Felix, et al.
Published: (2025)

Series representations for the characteristic function of the multidimensional Markov random flight
by: Kolesnik, Alexander D.
Published: (2023)

An adaptive radial basis function approach for efficiently solving multidimensional spatiotemporal integrodifferential equations
by: Xia, Mingtao, et al.
Published: (2026)

Functional worst risk minimization
by: Kennerberg, Philip, et al.
Published: (2024)

Critical Points of Random Neural Networks
by: Di Lillo, Simmaco
Published: (2025)

On the novel geometric and negative binomial INAR(1) processes
by: Bouzar, Nadjib
Published: (2023)

Convergence rates for a finite volume scheme of the stochastic heat equation
by: Sapountzoglou, Niklas, et al.
Published: (2024)

Path-Dependent SDEs: Solutions and Parameter Estimation
by: Semnani, Pardis, et al.
Published: (2025)

Restricted Path Characteristic Function Determines the Law of Stochastic Processes
by: Li, Siran, et al.
Published: (2024)

Orthogonal gamma-based expansion for the CIR's first passage time distribution
by: Di Nardo, Elvira, et al.
Published: (2024)

An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks
by: Xia, Mingtao, et al.
Published: (2024)

Convergence rates for a finite volume scheme of a stochastic non-linear parabolic equation
by: Rajasekaran, Kavin, et al.
Published: (2025)

Study of a TPFA scheme for the stochastic Allen-Cahn problem with constraint through numerical experiments
by: Sapountzoglou, Niklas, et al.
Published: (2025)

A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems
by: Xia, Mingtao, et al.
Published: (2025)

Error analysis for empirical risk minimization over clipped ReLU networks in solving linear Kolmogorov partial differential equations
by: Xiao, Jichang, et al.
Published: (2023)

Modeling Unknown Stochastic Dynamical System via Autoencoder
by: Xu, Zhongshu, et al.
Published: (2023)

Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems
by: Chen, Yuan, et al.
Published: (2024)

Fractal and Regular Geometry of Deep Neural Networks
by: Di Lillo, Simmaco, et al.
Published: (2025)

Sparsity vs. Statistical Independence in Adaptive Signal Representations: A Case Study of the Spike Process
by: Benichou, Bertrand, et al.
Published: (2001)

Probabilistic approximation of fully nonlinear second-order PIDEs with convergence rates for the universal robust limit theorem
by: Jiang, Lianzi, et al.
Published: (2025)

Physical blowups via buffered time change in a mean-field neural network
by: Papadopoulos, Nikolaos, et al.
Published: (2025)

Sufficientness postulates for measure-valued Pólya urn sequences
by: Sariev, Hristo, et al.
Published: (2023)

A functional Hungarian construction for sums of independent random variables
by: Grama, Ion, et al.
Published: (2024)

On Construction, Properties and Simulation of Haar-Based Multifractional Processes
by: Ayache, Antoine, et al.
Published: (2025)

Adaptive deep density approximation for stochastic dynamical systems
by: He, Junjie, et al.
Published: (2024)

Dirichlet-Neumann Averaging: The DNA of Efficient Gaussian Process Simulation
by: Kutri, Robert, et al.
Published: (2024)

Convergence of a spatial semidiscretization for a three-dimensional stochastic Allen-Cahn equation with multiplicative noise
by: Zhou, Qin, et al.
Published: (2024)

Analysis of an exponential integrator for stochastic PDEs driven by Riesz noise
by: Bréhier, Charles-Edouard, et al.
Published: (2026)

Random sampling of contingency tables and partitions: Two practical examples of the Burnside process
by: Diaconis, Persi, et al.
Published: (2025)

Sequential discretisation schemes for a class of stochastic differential equations and their application to Bayesian filtering
by: Akyildiz, Deniz, et al.
Published: (2022)

Preconditioned Conjugate Gradient methods for the estimation of General Linear Models
by: Foschi, Paolo
Published: (2025)

Fourier Neural Network Approximation of Transition Densities in Finance
by: Du, Rong, et al.
Published: (2023)

Asymptotic Expansions for High-Frequency Option Data
by: Chong, Carsten H., et al.
Published: (2023)

High-dimensional stochastic finite volumes using the tensor train format
by: Dubois, Juliette, et al.
Published: (2025)

Order-one explicit approximations of random periodic solutions of semi-linear SDEs with multiplicative noise
by: Guo, Yujia, et al.
Published: (2025)