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EP Analytics (United States)

United States

7 papers here39 citations across 7
fields
  • astro-ph.IM1
  • cs.AR1
  • cs.CY1
  • cs.DB1
  • cs.NI1
  • hep-th1
  • math.OC1
ROR 020emvx88OpenAlex

affiliations via OpenAlex

output
20072026
most citedMeasuring Economic Resilience to Natural Disasters with Big Economic Transaction Data

14 citations

researchers with a paper here
  • A. Greenbaum1 · h 33
  • Alex C. Newkirk1 · h 4
  • Amanda Zerbe1 · h 3
  • Arman Shehabi1 · h 25
  • C. McMurtry1 · h 15
  • C. Samaras1 · h 5
  • Dario Patane1 · h 1
  • D. Atkinson1 · h 12
  • D. Ives1 · h 21
  • Eduardo Yraola1 · h 2
  • E. Martinez1 · h 3
  • Emma Strubell1 · h 29
collaborating institutions
  • Brookhaven National LaboratoryUS1 paper
  • California Institute of TechnologyUS1 paper
  • Carnegie Mellon UniversityUS1 paper
  • Central China Normal UniversityCN1 paper
  • Chennai Mathematical InstituteIN1 paper
  • East Carolina UniversityUS1 paper
  • Infrared Processing and Analysis CenterUS1 paper
  • Lawrence Berkeley National LaboratoryUS1 paper
  • Neural Analytics (United States)US1 paper
  • Systems Analytics (United States)US1 paper
  • Teledyne Technologies (United States)US1 paper
  • Tuskegee UniversityUS1 paper
Showing cs.ARShow all

1 paper · 1 filter

cs.AR2025★ 2 cited

Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation

Alex C. Newkirk, Jared Fernandez, Jonathan Koomey +4

As AI's energy demand continues to grow, it is critical to enhance the understanding of characteristics of this demand, to improve grid infrastructure planning and environmental as…

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