Stphane Mallat : Learning multiscale invariants from big data for physics

Conférence de Stéphane Mallat organisée par le département de Physique. Machine learning requires to find low-dimensional models governing the properties of high dimensional functionals. This could almost be called physics. Algorithms have considerably improved in the last 10 years through the processing of massive amounts of data. In particular, deep neural network have spectacular applications, to image classification, medical, industrial and physical data analysis. We show that the approximation capabi