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Pierre Bousquet

4 papers hereh-index 110 citations5 works total

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author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.OC2
  • math.AP1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedDiscarding Lavrentiev's Gap in Non-autonomous and Non-Convex Variational Problems

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2026

Born Discrete, Made Smooth: Variational Formulation of Shallow Neural Networks

Matej Benko, Pierre Bousquet, Iwona Chlebicka +1

Although neural networks are remarkably effective, their underlying optimization principles remain theoretically elusive, often characterized by non-convex landscapes and stochasti…

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