Published article
Sachin Saini, Uaday Singh, Approximation capabilities of certain nonlinear neural network operators, J. Comput. Appl. Math. 117452, 2026, Elsevier.
Under review and Preprints
S. Saini, U. Singh, D. Costarelli, Depth Matters: Generalized Deep Kantorovich Neural Network Operators for Compositional Approximation.
S. Saini, U. Singh, Constructive Approximation of Random Process via Stochastic Interpolation Neural Network Operators (ArXiv).
S. Saini, U. Singh, Kantorovich-Type Stochastic Neural Network Operators for the Mean-Square Approximation of Certain Second-Order Stochastic Processes (ArXiv).
S. Saini, Taylor-Accelerated Neural Network Interpolation Operators on Irregular Grids with Higher Order Approximation (ArXiv).
S. Saini, A Universal Approximation Theorem for Neural Networks with Outputs in Locally Convex Spaces (ArXiv).
S. Saini, Stancu-Type Generalizations of Neural Network Operators with Perturbed Sampling Nodes (ArXiv).
S. Saini, U. Singh, D. Costarelli, Approximation by multivariate nonlinear sampling type neural network operators.
S. Saini, A Class of Function-Preserving Neural Network Operators with Applications to Modulated Signal Denoising (ArXiv).