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Laboratoire d'Hydrodynamique de l'École polytechnique

France

123 papers here2.4k citations across 123
fields
  • physics.flu-dyn67
  • cond-mat.soft21
  • cond-mat.stat-mech5
  • econ.GN3
  • physics.comp-ph3
  • q-fin.TR3
  • cond-mat.dis-nn2
  • physics.bio-ph2
ROR 018b0x874OpenAlex

affiliations via OpenAlex

output
20052025
most citedSelf-propulsion of pure water droplets by spontaneous Marangoni stress driven motion

329 citations

researchers with a paper here
  • S. Michelin2 profiles18 · h 28
  • M. Benzaquen11 · h 22
  • P. Manneville11 · h 41
  • Blaise Delmotte10 · h 14
  • J. Bouchaud9 · h 86
  • G. Amselem7 · h 13
  • L. Lesshafft6 · h 21
  • Michael Benzaquen3 profiles6 · h 3
  • P. Hémon6 · h 18
  • C. Josserand5 · h 37
  • Wladimir Sarlin5 · h 5
  • A. Boudaoud4 · h 60
collaborating institutions
  • École PolytechniqueFR84 papers
  • Centre National de la Recherche ScientifiqueFR82 papers
  • Université Paris-SaclayFR11 papers
  • Capital Fund Management (France)FR10 papers
  • Physique et Mécanique des Milieux HétérogènesFR9 papers
  • Sorbonne UniversitéFR9 papers
  • Université Paris CitéFR9 papers
  • Institut Jean Le Rond d'AlembertFR8 papers
  • Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR5 papers
  • Institut Polytechnique de ParisFR5 papers
  • Académie de ParisFR4 papers
  • CEA Paris-SaclayFR4 papers
Showing 2024 · cond-mat.dis-nnShow all

1 paper · 2 filters

cond-mat.dis-nn2024★ 9 cited

Random features and polynomial rules

Fabián Aguirre-López, Silvio Franz, Mauro Pastore

Random features models play a distinguished role in the theory of deep learning, describing the behavior of neural networks close to their infinite-width limit. In this work, we pr…

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