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
- 13/04/18 I gave a talk at I2M, Aix-Marseille Universityi 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.
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