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institution

Energy Sciences Network

United States

8 papers here58 citations across 8
fields
  • cs.NI6
  • cs.DC1
  • cs.LG1
ROR 0382bxa43OpenAlex

affiliations via OpenAlex

output
20202023
most citedSoftware-Defined Network for End-to-end Networked Science at the Exascale

25 citations

researchers with a paper here
  • C. Guok7 · h 16
  • A. Sim6 · h 25
  • F. Würthwein6 · h 114
  • I. Monga6 · h 18
  • Diego Davila5 · h 5
  • Kesheng Wu2 profiles5 · h 44
  • H. Newman4 · h 0
  • J. Balcas4 · h 9
  • T. Lehman2 · h 15
  • A. Arora1 · h 9
  • Buse Melis Özyıldırım1
  • Caitlin Sim1 · h 3
collaborating institutions
  • Lawrence Berkeley National LaboratoryUS7 papers
  • University of California San DiegoUS6 papers
  • University of California, BerkeleyUS5 papers
  • California Institute of TechnologyUS4 papers
  • Argonne National LaboratoryUS1 paper
  • Fermi National Accelerator LaboratoryUS1 paper
  • Middlebury CollegeUS1 paper
  • San Diego Center for Spinal DisordersUS1 paper
  • San Diego Supercomputer CenterUS1 paper
  • UC San Diego Health SystemUS1 paper
  • University of Maryland, College ParkUS1 paper
  • University of Nebraska–LincolnUS1 paper
Showing 2020 · cs.LGShow all

1 paper · 2 filters

cs.LG2020★ 5 cited

Do optimization methods in deep learning applications matter?

Buse Melis Ozyildirim, Mariam Kiran

With advances in deep learning, exponential data growth and increasing model complexity, developing efficient optimization methods are attracting much research attention. Several i…

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