activity
20192021
most citedITSO: A novel Inverse Transform Sampling-based Optimization algorithm for stochastic search

10 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Algorithmic Solution for Systems of Linear Equations, in time

Nikolaos P. Bakas

We present a novel algorithm attaining excessively fast, the sought solution of linear systems of equations. The algorithm is short in its basic formulation and, by definition, vec…

cs.CC2020

The Lagrangian remainder of Taylor's series, distinguishes time complexities to polynomials or not

Nikolaos P. Bakas, Elias Kosmatopoulos, Mihalis Nicolaou +1

The purpose of this letter is to investigate the time complexity consequences of the truncated Taylor series, known as Taylor Polynomials \cite{bakas2019taylor,Katsoprinakis2011,Ne…

math.OC2020★ 10 cited

ITSO: A novel Inverse Transform Sampling-based Optimization algorithm for stochastic search

Nikolaos P. Bakas, Vagelis Plevris, Andreas Langousis +1

Optimization algorithms appear in the core calculations of numerous Artificial Intelligence (AI) and Machine Learning methods, as well as Engineering and Business applications. Fol…

math.NA2019

Taylor Polynomials in High Arithmetic Precision as Universal Approximators

Nikolaos P. Bakas

Function approximation is a generic process in a variety of computational problems, from data interpolation to the solution of differential equations and inverse problems. In this…

cs.LG2019★ 2 cited

A Gradient Free Neural Network Framework Based on Universal Approximation Theorem

Nikolaos P. Bakas, Andreas Langousis, Mihalis Nicolaou +1

We present a numerical scheme for computation of Artificial Neural Networks (ANN) weights, which stems from the Universal Approximation Theorem, avoiding laborious iterations. The…