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 as accepted at ICML. Paper
  • 13/04/18 I gave a talk at I2M, Aix-Marseille University: Paper / Slides
  • 02/11/17 Our NIPS 2017 paper Learning Neural Representations of Human Cognition across Many fMRI Studies is available.
  • 26/07/17 Our paper Stochastic Subsampling for Factorizing Huge Matrices is accepted for publication in IEEE Transactions on Signal Processing. Preprint.

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