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Brain (Germany)

Germany

25 papers here3.8k citations across 25
fields
  • cs.LG7
  • physics.chem-ph5
  • q-bio.NC4
  • stat.ML4
  • cs.CV3
  • physics.comp-ph1
  • q-bio.GN1
ROR 01gamcy45OpenAlex

affiliations via OpenAlex

output
20192024
most citedMachine Learning Force Fields

1.6k citations

researchers with a paper here
  • Klaus-Robert Müller3 profiles7 · h 133
  • Stefan Chmiela5 · h 18
  • A. Tkatchenko3 · h 82
  • H. Sauceda3 · h 16
  • M. Gastegger3 · h 27
  • Rishabh Agarwal2 profiles3 · h 22
  • G. Montavon2 · h 40
  • Aaron Loh1 · h 6
  • A. Chambaz1 · h 17
  • A. Grosmark1 · h 16
  • A. Karthikesalingam1 · h 66
  • Aleksandra Faust1 · h 32
collaborating institutions
  • Google (United States)US10 papers
  • Korea UniversityKR8 papers
  • Max Planck Institute for InformaticsDE8 papers
  • Technische Universität BerlinDE8 papers
  • Berlin Institute for the Foundations of Learning and DataDE5 papers
  • Google DeepMind (United Kingdom)GB3 papers
  • University of LuxembourgLU3 papers
  • Centre Universitaire de MilaDZ2 papers
  • Columbia UniversityUS2 papers
  • Kao Corporation (Japan)JP2 papers
  • Université de MontréalCA2 papers
  • University of California, BerkeleyUS2 papers
Showing q-bio.GNShow all

1 paper · 1 filter

q-bio.GN2021

Optimal transport-based machine learning to match specific patterns: application to the detection of molecular regulation patterns in omics data

Thi Thanh Yen Nguyen, Warith Harchaoui, Lucile Mégret +4

We present several algorithms designed to learn a pattern of correspondence between two data sets in situations where it is desirable to match elements that exhibit a relationship…

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