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Hugo Lavenant

16 papers hereh-index 11328 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author7
  • middle author4
  • last author2

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • math.AP7
  • math.NA2
  • math.ST2
  • cond-mat.mtrl-sci1
  • math.MG1
  • math.OC1
same name
  • Hugo Lavenant — 6 papers, h 2
  • Hugo Lavenant — 3 papers, h 3
  • Hugo Lavenant — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedDynamical Optimal Transport on Discrete Surfaces

33 citations · 58 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.PR2021★ 4 cited

Regularized unbalanced optimal transport as entropy minimization with respect to branching Brownian motion

Aymeric Baradat, Hugo Lavenant

We consider the problem of minimizing the entropy of a law with respect to the law of a reference branching Brownian motion under density constraints at an initial and final time.…

math.ST2021

A Wasserstein index of dependence for random measures

Marta Catalano, Hugo Lavenant, Antonio Lijoi +1

Optimal transport and Wasserstein distances are flourishing in many scientific fields as a means for comparing and connecting random structures. Here we pioneer the use of an optim…

math.MG2021

Convex functions defined on metric spaces are pulled back to subharmonic ones by harmonic maps

Hugo Lavenant, Léonard Monsaingeon, Luca Tamanini +1

If u:Ω⊂Rd→X is a harmonic map valued in a metric space X and E:X→R is a convex function, in the sense that it ge…

stat.ML2021★ 12 cited

Towards a mathematical theory of trajectory inference

Hugo Lavenant, Stephen Zhang, Young-Heon Kim +1

We devise a theoretical framework and a numerical method to infer trajectories of a stochastic process from samples of its temporal marginals. This problem arises in the analysis o…

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