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researcher

Adel Chaibi

2 papers hereh-index 326 citations4 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM1
  • physics.data-an1

identity via Semantic Scholar / OpenAlex

most citedReduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

9 citations · 9 across the 1 of their papers we have counts for

collaborators

2 papers

physics.data-an2021★ 9 cited

Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

Florian Rehm, Sofia Vallecorsa, Vikram Saletore +5

Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computation…

astro-ph.IM2020

DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks

Maxwell X. Cai, Jeroen Bédorf, Vikram A. Saletore +4

Galaxy mergers, the dynamical process during which two galaxies collide, are among the most spectacular phenomena in the Universe. During this process, the two colliding galaxies a…

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