PhD student advised by Stephane Mallat
Data team
Laboratoire d'Informatique de l'Ecole Normale Superieure
45, rue d'Ulm 75005 Paris
first name DOT last name AT ens DOT fr
Deep learning, Recurrent neural networks, Dynamical systems, Time-Series Analysis, Time-Series Generation
Applications to speech, audio, neuroscience, meteorology, finance.
Music Generation and Transformation with Moment Matching-Scattering Inverse Networks
M. Andreux, S. Mallat
In International Society for Music Information Retrieval Conference (ISMIR), 2018
Anisotropic Laplace-Beltrami Operators
M. Andreux, E. Rodola, M. Aubry, D. Cremers
In Sixth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), 2014
pdf bibtex
2017 - 2018: Co-organizer of the 3rd edition of the Challenge Data.
2016 - 2017: Main organizer of the Challenge Data.
2015 - 2016: Teaching assistant in mathematics and computer science for the Frontieres du Vivant Bachelor program.
2015-Present: PhD student in Machine learning at ENS Ulm, Paris, France.
2014-2015: Master MVA in Mathematics, Computer Vision and Machine Learning, ENS Cachan, Cachan, France.
2011-2014: Engineering Degree, Ecole polytechnique, Palaiseau, France. Majored in Applied Mathematics.