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institution

Max Planck Institute for Biology

Germany

3 papers here93 citations across 3
fields
  • cond-mat.soft1
  • cs.CY1
  • gr-qc1
ROR 0243gzr89OpenAlex

affiliations via OpenAlex

output
20192026
most citedReal-time gravitational-wave inference for binary neutron stars using machine learning

49 citations

researchers with a paper here
  • A. Buonanno1 · h 114
  • Alexander Asemota1 · h 1
  • Angela Jin1 · h 2
  • Bernhard Schölkopf1 · h 6
  • D. Krane1 · h 20
  • G. Martius1 · h 34
  • Jakob H. Macke1 · h 3
  • J. Gair1 · h 110
  • J. Wildberger1 · h 9
  • Maximilian Dax1 · h 15
  • M. Oettel1 · h 32
  • M. Purrer1 · h 70
collaborating institutions
  • Max Planck Institute for Intelligent SystemsDE3 papers
  • University of TübingenDE2 papers
  • Bernstein Center for Computational Neuroscience TübingenDE1 paper
  • Cardiff UniversityGB1 paper
  • ETH ZurichCH1 paper
  • Max Planck Institute for Gravitational PhysicsDE1 paper
  • Solutions Through Innovative Technologies (United States)US1 paper
  • University of California, BerkeleyUS1 paper
  • University of Maryland, College ParkUS1 paper
  • University of NottinghamGB1 paper
  • University of Rhode IslandUS1 paper
  • Wright State UniversityUS1 paper
Showing cond-mat.softShow all

1 paper · 1 filter

cond-mat.soft2019★ 43 cited

Analytical classical density functionals from an equation learning network

Shang-Chun Lin, Georg Martius, Martin Oettel

We explore the feasibility of using machine learning methods to obtain an analytic form of the classical free energy functional for two model fluids, hard rods and Lennard--Jones,…

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