I've got a paper accepted at ECML PKDD 2024

I am thrilled to announce that our paper “Univariate skeleton prediction in multivariate systems using transformers,” co-authored with Dr. John Sheppard, has been accepted for presentation at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), to be held in Lithuania in September.

We propose an explainable neural symbolic regression method that generates univariate symbolic skeletons that aim to explain how each variable influences the response of a multivariate system. This method is one of the main components of my dissertation proposal, titled “Decomposable Symbolic Regression Using Transformers and Neural Network-Assisted Genetic Algorithms.”