Search Results for author: Jose M Munoz

Found 2 papers, 1 papers with code

Retrieval of Boost Invariant Symbolic Observables via Feature Importance

no code implementations23 Jun 2023 Jose M Munoz, Ilyes Batatia, Christoph Ortner, Francesco Romeo

Deep learning approaches for jet tagging in high-energy physics are characterized as black boxes that process a large amount of information from which it is difficult to extract key distinctive observables.

Feature Importance Jet Tagging +1

BIP: Boost Invariant Polynomials for Efficient Jet Tagging

1 code implementation17 Jul 2022 Jose M Munoz, Ilyes Batatia, Christoph Ortner

Deep Learning approaches are becoming the go-to methods for data analysis in High Energy Physics (HEP).

Computational Efficiency Jet Tagging

Cannot find the paper you are looking for? You can Submit a new open access paper.