Arthur Mensch

I am a research scientist at DeepMind, that I have joined at the end of 2020. I work in Paris office.

I was a post-doctoral research at École Normale Supérieure, Paris, in Gabriel Peyré’s lab. I hold a Ph.D. in machine learning, prepared in Inria Parietal, from 2015 to 2018.

I am currently interested in optimization and large-scale deep-learning, and continue to have interest for 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.


  • 11/20 I have joined DeepMind as a Research Scientist
  • 09/20 Our work on estimating optimal transport distances from streams of samples was accepted at NeurIPS 2020.
  • 09/20 Our work on estimating mixed Nash equilibria with continuous strategies was accepted at NeurIPS 2020.
  • 03/20-06/20 I am working with Inria and AP-HP to help processing data of the Covid-19 pandemic in Paris region.
  • 02/20 Our work on accelerating Nash equilibrium finding, with applications to GANs, was accepted at ICML 2020.
  • 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 four 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
  • 09/18 I defended my PhD thesis (Slides, Thesis) at NeuroSpin. –>

This is a preview of Clap Button, a new feedback and analytics tools for Hydejack, built by yours truly. You can try it out on localhost for free, but it will be removed (together with this message) when building with JEKYLL_ENV=production. To use Clap Button on your site, get a subscription
and set clap_button: true in your config file.

© 2021. All rights reserved.