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researcher

M. T. Young

5 papers hereh-index 11605 citations14 works total

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

author position
  • middle author5

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

fields
  • cs.LG2
  • cs.CV1
  • q-bio.BM1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedExascale Deep Learning for Scientific Inverse Problems

30 citations · 42 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020★ 1 cited

Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation

Drew Schmidt, Bronson Messer, M. Todd Young +1

The use of AI and ML for scientific applications is currently a very exciting and dynamic field. Much of this excitement for HPC has focused on ML applications whose analysis and c…

cs.LG2019★ 30 cited

Exascale Deep Learning for Scientific Inverse Problems

Nouamane Laanait, Joshua Romero, Junqi Yin +6

We introduce novel communication strategies in synchronous distributed Deep Learning consisting of decentralized gradient reduction orchestration and computational graph-aware grou…

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