Imagen de Portada

Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	He, Tian-Xiao
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Functional Analysis 41A36, 41A25, 47D07, 35K55
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Approximations on Stancu variant of Szász-Mirakjan-Kantorovich type operators
por: Yadav, Rishikesh, et al.
Publicado: (2019)

Convergence analysis of max-product and max-min Durrmeyer-type exponential sampling operators in Mellin Orlicz space
por: Pradhan, Satyaranjan, et al.
Publicado: (2025)

Stancu-Type Generalizations of Neural Network Operators with Perturbed Sampling Nodes
por: Saini, Sachin
Publicado: (2026)

A Kantorovich-type variant of Grünwald Interpolation Operators
por: Vinaya, P. C.
Publicado: (2026)

On Better Approximation Order for the Max-Product Meyer-König and Zeller Operator
por: Dogru, Sezin Çit Ogun
Publicado: (2023)

Approximation Properties of Mellin-Steklov Type Exponential Sampling Series
por: Ozer, D, et al.
Publicado: (2024)

Max-product Kantorovich sampling operators: quantitative estimates in functional spaces
por: Boccali, Lorenzo, et al.
Publicado: (2023)

Convergence results in Orlicz spaces for sequences of max-product Kantorovich sampling operators
por: Boccali, Lorenzo, et al.
Publicado: (2023)

Korovkin-type approximation for non-positive operators
por: Kumar, V. B. Kiran, et al.
Publicado: (2024)

Modified Kantorovich-type Sampling Series in Orlicz Space Frameworks
por: Gupta, Pooja
Publicado: (2025)

Taylor-Accelerated Neural Network Interpolation Operators on Irregular Grids with Higher Order Approximation
por: Saini, Sachin
Publicado: (2026)

Max-Min Neural Network Operators For Approximation of Multivariate Functions
por: Yadav, Abhishek, et al.
Publicado: (2026)

Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations
por: Chen, Shuang, et al.
Publicado: (2026)

Exploring q-Stancu Operators via a New Representation
por: Baraner, Feride, et al.
Publicado: (2026)

Operator version of Korovkin Theorem; Degree of Convergence and its Applications
por: Kumar, V. B. Kiran, et al.
Publicado: (2022)

Quantitative estimates of convergence in nonlinear operator extensions of Korovkin's theorems
por: Gal, Sorin G., et al.
Publicado: (2023)

A theoretical analysis on the inversion of matrices via Neural Networks designed with Strassen algorithm
por: Romera, Gonzalo, et al.
Publicado: (2025)

Approximation results on neural network operators of convolution type
por: Arif, Asiye, et al.
Publicado: (2025)

On best approximation by multivariate ridge functions with applications to generalized translation networks
por: Geuchen, Paul, et al.
Publicado: (2024)

Weighted Approximation By Max-Product Generalized Exponential Sampling Series
por: Pradhan, Satyaranjan, et al.
Publicado: (2024)

A Durrmeyer-type variant of Grünwald Interpolation Operators
por: Vinaya, P. C.
Publicado: (2026)

Approximation by neural network operators of convolution type activated by deformed and parametrized half hyperbolic tangent function
por: Arif, Asiye, et al.
Publicado: (2025)

Ridge Kernel Averaging and Uniform Approximation
por: Tian, James
Publicado: (2025)

Approximation of discontinuous functions by positive linear operators. A probabilistic approach
por: Adell, José A., et al.
Publicado: (2024)

Constructive Approximation of Random Process via Stochastic Interpolation Neural Network Operators
por: Saini, Sachin, et al.
Publicado: (2025)

New Exponential operators connected with a^2+x^2: a generalization of Post-Widder and Ismail May
por: Gupta, Vijay, et al.
Publicado: (2024)

A Class of Random-Kernel Network Models
por: Tian, James
Publicado: (2025)

Approximation of Random Evolution Equations of Parabolic type
por: Klioba, Katharina, et al.
Publicado: (2024)

Weighted Sobolev Approximation Rates for Neural Networks on Unbounded Domains
por: Abdeljawad, Ahmed, et al.
Publicado: (2024)

Stability Analysis of Grünwald Interpolation Operators on Chebyshev Nodes
por: C, Vinaya P
Publicado: (2025)

Optimal Approximation of Zonoids and Uniform Approximation by Shallow Neural Networks
por: Siegel, Jonathan W.
Publicado: (2023)

Boundary Interpolation on Triangles via Neural Network Operators
por: Bhat, Aaqib Ayoub, et al.
Publicado: (2024)

The algebraic structure of hyperinterpolation class on the sphere
por: An, Congpei, et al.
Publicado: (2024)

$L^{p}$-convergence of Kantorovich-type Max-Min Neural Network Operators
por: Aslan, İsmail, et al.
Publicado: (2024)

Weighted approximation By Max-product Kantrovich type Exponential Sampling Series
por: Pradhan, Satyaranjan, et al.
Publicado: (2025)

ReLU neural network approximation to piecewise constant functions
por: Cai, Zhiqiang, et al.
Publicado: (2024)

Some properties of Wright Operators
por: Patel, Prashantkumar
Publicado: (2024)

Neural Network Operator-Based Fractal Approximation: Smoothness Preservation and Convergence Analysis
por: Bhat, Aaqib Ayoub, et al.
Publicado: (2025)

Time-Frequency Analysis for Neural Networks
por: Abdeljawad, Ahmed, et al.
Publicado: (2025)

Kantorovich-Type Stochastic Neural Network Operators for the Mean-Square Approximation of Certain Second-Order Stochastic Processes
por: Saini, Sachin, et al.
Publicado: (2026)