1 citations · 1 across the 4 of their papers we have counts for
5 papers
EvoIQA - Explaining Image Distortions with Evolved White-Box Logic
Ruchika Gupta, Illya Bakurov, Nathan Haut +1
Traditional Image Quality Assessment (IQA) metrics typically fall into one of two extremes: rigid, hand-crafted mathematical models or "black-box" deep learning architectures that…
Node Preservation and its Effect on Crossover in Cartesian Genetic Programming
Mark Kocherovsky, Illya Bakurov, Wolfgang Banzhaf
While crossover is a critical and often indispensable component in other forms of Genetic Programming, such as Linear- and Tree-based, it has consistently been claimed that it dete…
Genetic Programming for the Nuclear Many-Body Problem: a Guide
Illya Bakurov, Pablo Giuliani, Kyle Godbey +3
Genetic Programming is an evolutionary algorithm that generates computer programs, or mathematical expressions, to solve complex problems. In this Guide, we demonstrate how to use…
Sharpness-Aware Minimization in Genetic Programming
Illya Bakurov, Nathan Haut, Wolfgang Banzhaf
Sharpness-Aware Minimization (SAM) was recently introduced as a regularization procedure for training deep neural networks. It simultaneously minimizes the fitness (or loss) functi…
On The Nature Of The Phenotype In Tree Genetic Programming
Wolfgang Banzhaf, Illya Bakurov
In this contribution, we discuss the basic concepts of genotypes and phenotypes in tree-based GP (TGP), and then analyze their behavior using five benchmark datasets. We show that…