19 citations · 29 across the 2 of their papers we have counts for
3 papers
Retrieval of Boost Invariant Symbolic Observables via Feature Importance
Jose M Munoz, Ilyes Batatia, Christoph Ortner +1
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 ke…
Predicting Beta Decay Energy with Machine Learning
Jose M. Munoz, Serkan Akkoyun, Zayda P. Reyes +1
represents one of the most important factors characterizing unstable nuclei, as it can lead to a better understanding of nuclei behavior and the origin of heavy atoms. Recent…
BIP: Boost Invariant Polynomials for Efficient Jet Tagging
Jose M Munoz, Ilyes Batatia, Christoph Ortner
Deep Learning approaches are becoming the go-to methods for data analysis in High Energy Physics (HEP). Nonetheless, most physics-inspired modern architectures are computationally…