Simultaneous approximation by neural network operators with applications to Voronovskaja formulas
Fuente:
arXiv
Saved in:
| Main Authors: | Cantarini, Marco, Costarelli, Danilo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Saturation theorems for neural network operators by solving elliptic and hyperbolic PDEs with analytical and semi-analytical inverse problems
by: Costarelli, Danilo
Published: (2025)
by: Costarelli, Danilo
Published: (2025)
Image resizing by neural network operators and their convergence rate with respect to the $L^p$-norm and the dissimilarity index defined through the continuous SSIM
by: Costarelli, Danilo, et al.
Published: (2025)
by: Costarelli, Danilo, et al.
Published: (2025)
Advancements in nonlinear exponential sampling: convergence, quantitative analysis and Voronovskaya-type formula
by: Costarelli, Danilo, et al.
Published: (2024)
by: Costarelli, Danilo, et al.
Published: (2024)
Modular convergence of Steklov sampling operators in Orlicz spaces
by: Costarelli, Danilo, et al.
Published: (2025)
by: Costarelli, Danilo, et al.
Published: (2025)
Semi-discrete moduli of smoothness and their applications in one- and two- sided error estimates
by: Costarelli, Danilo, et al.
Published: (2025)
by: Costarelli, Danilo, et al.
Published: (2025)
A Kantorovich version of Bernstein-type logarithmic operators
by: Angeloni, Laura, et al.
Published: (2026)
by: Angeloni, Laura, et al.
Published: (2026)
A new class of positive linear operators preserving logarithmic functions
by: Angeloni, Laura, et al.
Published: (2026)
by: Angeloni, Laura, et al.
Published: (2026)
A characterization of generalized Lipschitz classes by the rate of convergence of semi-discrete operators
by: Costarelli, Danilo, et al.
Published: (2025)
by: Costarelli, Danilo, et al.
Published: (2025)
Strong and weak sharp bounds for Neural Network Operators in Sobolev-Orlicz spaces and their quantitative extensions to Orlicz spaces
by: Costarelli, Danilo, et al.
Published: (2025)
by: Costarelli, Danilo, et al.
Published: (2025)
Implementation of neural network operators with applications to remote sensing data
by: Costarelli, Danilo, et al.
Published: (2024)
by: Costarelli, Danilo, et al.
Published: (2024)
Approximation processes by multidimensional Bernstein-type exponential polynomials on the hypercube
by: Angeloni, Laura, et al.
Published: (2024)
by: Angeloni, Laura, et al.
Published: (2024)
Max-product Kantorovich sampling operators: quantitative estimates in functional spaces
by: Boccali, Lorenzo, et al.
Published: (2023)
by: Boccali, Lorenzo, et al.
Published: (2023)
Convergence results in Orlicz spaces for sequences of max-product Kantorovich sampling operators
by: Boccali, Lorenzo, et al.
Published: (2023)
by: Boccali, Lorenzo, et al.
Published: (2023)
Approximation by multivariate neural network operators in mixed norm space: theory and application
by: Majethiya, Priyanka, et al.
Published: (2025)
by: Majethiya, Priyanka, et al.
Published: (2025)
Deep convolutional neural networks and data approximation using the fractional Fourier transform
by: Biswas, M. H. A., et al.
Published: (2024)
by: Biswas, M. H. A., et al.
Published: (2024)
Distributionally robust approximation property of neural networks
by: Ceylan, Mihriban, et al.
Published: (2025)
by: Ceylan, Mihriban, et al.
Published: (2025)
Universal approximation with complex-valued deep narrow neural networks
by: Geuchen, Paul, et al.
Published: (2023)
by: Geuchen, Paul, et al.
Published: (2023)
On symmetric and approximately symmetric operators
by: Khurana, Divya
Published: (2024)
by: Khurana, Divya
Published: (2024)
New advances in universal approximation with neural networks of minimal width
by: Rochau, Dennis, et al.
Published: (2024)
by: Rochau, Dennis, et al.
Published: (2024)
On approximately orthogonality preserving and reversing operators
by: Khurana, Divya
Published: (2024)
by: Khurana, Divya
Published: (2024)
On the approximation of $SBD$ functions and some applications
by: Crismale, Vito
Published: (2018)
by: Crismale, Vito
Published: (2018)
Uniformity in the Fourier inversion formula with applications to Laplace transforms
by: Alexopoulos, Joannis
Published: (2025)
by: Alexopoulos, Joannis
Published: (2025)
A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing
by: Costarelli, Danilo, et al.
Published: (2023)
by: Costarelli, Danilo, et al.
Published: (2023)
A new formula for the weighted Moore-Penrose inverse and its applications
by: Xu, Qingxiang
Published: (2025)
by: Xu, Qingxiang
Published: (2025)
Bases of Lebesgue spaces formed by neural networks
by: Kulbatov, Vladimir, et al.
Published: (2025)
by: Kulbatov, Vladimir, et al.
Published: (2025)
Limit formulas for norms of tensor power operators
by: Aubrun, Guillaume, et al.
Published: (2024)
by: Aubrun, Guillaume, et al.
Published: (2024)
A transform for the Grushin operator with applications
by: Stempak, Krzysztof
Published: (2025)
by: Stempak, Krzysztof
Published: (2025)
Rational approximation of operator semigroups via the $\mathcal B$-calculus
by: Gomilko, Alexander, et al.
Published: (2024)
by: Gomilko, Alexander, et al.
Published: (2024)
Sampling recovery on classes defined by integral operators and sparse approximation with adaptive dictionaries
by: Temlyakov, V.
Published: (2026)
by: Temlyakov, V.
Published: (2026)
Improved universal approximation with neural networks studied via affine-invariant subspaces of $L_2(\mathbb{R}^n)$
by: Schneider, Cornelia, et al.
Published: (2025)
by: Schneider, Cornelia, et al.
Published: (2025)
Euclidean operator radius inequalities of a pair of bounded linear operators and their applications
by: Jana, Suvendu, et al.
Published: (2022)
by: Jana, Suvendu, et al.
Published: (2022)
Sampling Kantorovich operators for speckle noise reduction using a Down-Up scaling approach and gap filling in remote sensing images
by: Costarelli, Danilo, et al.
Published: (2025)
by: Costarelli, Danilo, et al.
Published: (2025)
A new pointwise inequality for rough operators and applications
by: Chamorro, Diego, et al.
Published: (2024)
by: Chamorro, Diego, et al.
Published: (2024)
Measure-operator convolutions and applications to mixed-state Gabor multipliers
by: Feichtinger, Hans G., et al.
Published: (2023)
by: Feichtinger, Hans G., et al.
Published: (2023)
ReLU neural network approximation to piecewise constant functions
by: Cai, Zhiqiang, et al.
Published: (2024)
by: Cai, Zhiqiang, et al.
Published: (2024)
An introduction of Berezin sectorial operators and its application to Berezin number inequalities
by: Mahapatra, Saikat, et al.
Published: (2026)
by: Mahapatra, Saikat, et al.
Published: (2026)
Convolutions of Orlicz spaces and Orlicz Schatten classes, with applications to Toeplitz operators
by: Bauer, Wolfram, et al.
Published: (2025)
by: Bauer, Wolfram, et al.
Published: (2025)
Unified generalization analysis for physics informed neural networks
by: Hashimoto, Yuka, et al.
Published: (2026)
by: Hashimoto, Yuka, et al.
Published: (2026)
Fractional Sobolev spaces via interpolation, and applications to mixed local-nonlocal operators
by: Maione, Alberto
Published: (2025)
by: Maione, Alberto
Published: (2025)
Kernel-induced distance and its applications to Composition operators on Large Bergman spaces
by: Park, Inyoung
Published: (2024)
by: Park, Inyoung
Published: (2024)
Similar Items
-
Saturation theorems for neural network operators by solving elliptic and hyperbolic PDEs with analytical and semi-analytical inverse problems
by: Costarelli, Danilo
Published: (2025) -
Image resizing by neural network operators and their convergence rate with respect to the $L^p$-norm and the dissimilarity index defined through the continuous SSIM
by: Costarelli, Danilo, et al.
Published: (2025) -
Advancements in nonlinear exponential sampling: convergence, quantitative analysis and Voronovskaya-type formula
by: Costarelli, Danilo, et al.
Published: (2024) -
Modular convergence of Steklov sampling operators in Orlicz spaces
by: Costarelli, Danilo, et al.
Published: (2025) -
Semi-discrete moduli of smoothness and their applications in one- and two- sided error estimates
by: Costarelli, Danilo, et al.
Published: (2025)