Marco Cuturi
Scholar

Marco Cuturi

Google Scholar ID: kQEydDMAAAAJ
Apple
machine learningoptimal transport
Citations & Impact
All-time
Citations
20,818
 
H-index
50
 
i10-index
83
 
Publications
20
 
Co-authors
149
list available
Resume (English only)
Academic Achievements
  • Participated in numerous international conferences and workshops such as Seminario Optimizacion UdeR, Escuela de Primavera en Deep Learning, Chalmers Structured AI Workshop, etc., and gave talks or tutorials at these events.
Research Experience
  • Teaching and research experiences at multiple institutions including ENSAE, Kyoto University, Princeton University, etc. Courses taught include OT, DL, IS, SOADML, GMML, SML, SciEng, ORF522.
Background
  • Research Interests: machine learning, optimal transport, optimization, time-series, kernels. Distinguished Engineer at Apple ML Research (Paris) and Professor of Statistics at CREST-ENSAE, Institut Polytechnque de Paris.
Miscellany
  • Contact: cuturi@apple.com, marco.cuturi@ensae.fr; GitHub: marcocuturi; Bluesky: @marcocuturi; LinkedIn: marcocuturi