Deep learning has become a prominent approach for many applications, such as computer vision or neural language processing. However, the mathematical understanding of these methods is still incomplete. A recent …

La fédération OcciMath organise avec les projets ANR DEEV et Indyana la première séance du groupe de travail « maths-bio » de la région Occitanie. Cette séance aura lieu les 21 et 22 novembre à l’IMAG et sera …

Communication scenarios between two parties can be implemented by first encoding messages into some states of a physical system which acts as the physical medium of the communication and then decoding the messages …

This talk focuses on optimization over state polynomials, i.e., polynomials in noncommuting variables and formal states of their products. An archimedean Positivstellensatz in the spirit of Putinar and …

Consider Ca plane complex curve. Themodule ofholomorphic1-formsand withCinvariant isfreeofranktwo. Anybasisiscalleda Saitobasis. In this talkwepresenta methodtocompute a Saitobasiswhenthecurve Cisa branchwitha …

In recent years, machine learning has motivated the study of "nonlinear random matrices”, that is, random matrices that involve the entry-wise application of some deterministic nonlinear functions. A prominent …