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researcher

Hans Pabst

10 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 author8

Across the 8 of 10 papers where every author was matched, so the position is known.

fields
  • cs.DC3
  • physics.comp-ph2
  • cs.AI1
  • cs.LG1
  • cs.PL1
  • physics.chem-ph1

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedReduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

9 citations · 17 across the 4 of their papers we have counts for

collaborators
Showing 2021 · physics.data-anShow all

1 paper · 2 filters

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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