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Advanced Energy (United States)

United States

11 papers here89 citations across 11
fields
  • cond-mat.mtrl-sci3
  • eess.SY1
  • hep-ph1
  • math.CO1
  • math.OC1
  • nucl-ex1
  • nucl-th1
  • physics.acc-ph1
ROR 00rs9dy63OpenAlex

affiliations via OpenAlex

output
20062025
most citedReview of Core Process Representation in Power System Operational Models: Gaps, Challenges, and Opportunities for Multisector Dynamics Research

47 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Alexander Heger1 · h 0
  • Alfredo Vega1 · h 2
  • Bonfilio Nainggolan1 · h 2
  • Brian Tarroja1 · h 26
  • Byungha Shin1 · h 7
  • Chaeyoun Kim1 · h 2
  • Cheng Song1 · h 15
  • Chong Chen1 · h 13
  • Christian Tjandraatmadja1 · h 10
  • D. Bishop1 · h 2
  • D. Cranston1 · h 20
  • Dong Suk Kim1 · h 11
collaborating institutions
  • Kyoto UniversityJP2 papers
  • Lanzhou UniversityCN2 papers
  • Michigan State UniversityUS2 papers
  • Advanced Energy Materials (United States)US1 paper
  • ARC Centre of Excellence for All-sky AstrophysicsAU1 paper
  • ARC Centre of Excellence for Gravitational Wave DiscoveryAU1 paper
  • Arizona State UniversityUS1 paper
  • Australian Regenerative Medicine InstituteAU1 paper
  • Beijing Jiaotong UniversityCN1 paper
  • Carnegie Mellon UniversityUS1 paper
  • CEA Paris-SaclayFR1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
Showing 2018Show all

1 paper · 1 filter

math.OC2018

How Could Polyhedral Theory Harness Deep Learning?

Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam

The holy grail of deep learning is to come up with an automatic method to design optimal architectures for different applications. In other words, how can we effectively dimension…

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