Clément Bonet
Scholar

Clément Bonet

Google Scholar ID: wjCPk5kAAAAJ
Ecole Polytechnique, CMAP
Optimal TransportGradient FlowsMachine Learning
Citations & Impact
All-time
Citations
259
 
H-index
8
 
i10-index
8
 
Publications
12
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in significant conferences such as ICML, JMLR, AISTATS, NeurIPS, etc. Also participated in various academic talks and workshops.
Research Experience
  • Was a postdoctoral researcher at ENSAE/CREST, working with Anna Korba on Wasserstein Gradient Flows.
Education
  • Defended his PhD in November 2023, supervised by François Septier, Nicolas Courty, and Lucas Drumetz; Graduated from Telecom Paris and the MVA ("Mathématiques, Vision, Apprentissage") of Ecole Normale Superieure Paris-Saclay.
Background
  • An associate professor at Ecole Polytechnique. Research interests include Optimal Transport, Optimization, Computational Statistics, and Deep Learning.