I am a post-doctoral research at École Normale Supérieure, Paris, in the laboratory of Gabriel Peyré. I hold a Ph.D. in machine learning, prepared in Inria Parietal team, from 2015 to 2018.

I am currently working in structured prediction, optimal transport and game theory.

My Ph.D. was obtained under the supervision of Gaël Varoquaux, Julien Mairal and Bertrand Thirion. I developed new stochastic algorithms and multi-task models for terabyte sized fMRI dataset analysis.

My detailed resume can be found here. More details on my research and on software.


  • 06/19 Preprint on our recent work for accelerating Nash equilibrium finding, with applications to GANs
  • 05/19 Our paper Geometric Losses for Distributional Learning was accepted at ICML 2019 (Paper) (Slides) (Poster)
  • 03/19 I am visiting Joan Bruna at NYU CIMS for three months.
  • 01/19 Slides for Differentiable Dynamic Programming for Stuctured Prediction and Attention (Paper).
  • 11/18 I started working as a post-doctoral researcher with Gabriel Peyré, in ENS, Paris
  • 10/18 Preprint of our work Extracting Universal Representations of Cognition across Brain-Imaging Studies.
  • 09/18 I defended my PhD thesis (Slides, Thesis) at NeuroSpin.

Arthur Mensch © 2019. All rights reserved.