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researcher

José M. Muñoz

3 papers hereh-index 364 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph2
  • nucl-th1

identity via Semantic Scholar / OpenAlex

most citedPredicting Beta Decay Energy with Machine Learning

19 citations · 29 across the 2 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

2 papers · 1 filter

physics.comp-ph2023

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…

physics.comp-ph2022★ 10 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.