Data-Driven Discovery of Interpretable Kalman Filter Variants Through Large Language Models and Genetic Programming

Read full text
Authors: Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov, Petros Koumoutsakos
Cited by: 1
References: 20

Fields of Study & Subjects

Evolutionary Algorithms and Applications Language and cultural evolution Machine Learning and Algorithms

Publication details

Journal / source
Lecture notes in computer science
Publisher
Springer Nature Switzerland
Pages
200–216
Publication date
1 January 2026
Language
EN