Arthur Mensch


I am a Ph.D. candidate in Inria Parietal team since September 2015. I am interested in optimization methods, and especially matrix factorization techniques, for very large datasets such as those produced by functional Magnetic Reasonance Imaging (fMRI).

I am working under the supervision of Gaël Varoquaux, Julien Mairal and Bertrand Thirion. I obtained a graduate degree at École Polytechnique, and a Master of Science in applied mathematics and machine learning at Télécom ParisTech and École Normale Supérieure de Cachan, in France.

My detailed resume can be found here


  • 09/05/18 Our paper Differentiable Dynamic Programming for Stuctured Prediction and Attention was accepted at ICML 2018. Paper. Presented on the 12/07/18 at Stockholm Slides
  • 13/04/18 I gave a talk at I2M, Aix-Marseille Université on large scale matrix factorization: Paper / Slides
  • 02/11/17 Our NIPS 2017 paper Learning Neural Representations of Human Cognition across Many fMRI Studies is available.

Arthur Mensch © 2017. All rights reserved.

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