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researcher

Hans Pabst

5 papers hereh-index 114.2k citations24 works total

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

author position
  • middle author4

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.DC1
  • cs.LG1
  • physics.chem-ph1
  • physics.comp-ph1
  • physics.data-an1
same name
  • Hans Pabst — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedReduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

9 citations · 16 across the 2 of their papers we have counts for

collaborators
Showing physics.data-anShow all

1 paper · 1 filter

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…

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