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M. Villani

38 papers hereh-index 283.9k citations117 works total

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

author position
  • sole author3
  • first author4
  • middle author14
  • last author17

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • stat.ME10
  • stat.CO9
  • stat.AP6
  • cs.LG3
  • stat.ML3
  • gr-qc2
same name
  • M. Villani — 9 papers, h 23
  • M. Villani — 8 papers, h 9
  • M. Villani — 8 papers, h 6
  • M. Villani — 1 paper, h 18
  • M. Villani — 1 paper, h 1
  • M. Villani — 1 paper, h 7

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
20112023
most citedSpeeding Up MCMC by Efficient Data Subsampling

156 citations · 361 across the 32 of their papers we have counts for

collaborators
Showing stat.MLShow all

3 papers · 1 filter

stat.ML2019

A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport

Hector Rodriguez-Deniz, Mattias Villani, Augusto Voltes-Dorta

Dynamic transportation networks have been analyzed for years by means of static graph-based indicators in order to study the temporal evolution of relevant network components, and…

stat.ML2016

DOLDA - a regularized supervised topic model for high-dimensional multi-class regression

Måns Magnusson, Leif Jonsson, Mattias Villani

Generating user interpretable multi-class predictions in data rich environments with many classes and explanatory covariates is a daunting task. We introduce Diagonal Orthant Laten…

stat.ML2015★ 1 cited

Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models

Måns Magnusson, Leif Jonsson, Mattias Villani +1

Topic models, and more specifically the class of Latent Dirichlet Allocation (LDA), are widely used for probabilistic modeling of text. MCMC sampling from the posterior distributio…

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