The School on
"Mathematical and Computational Aspects of Machine Learning"
will take place at the Centro di Ricerca Matematica Ennio the Giorgi, Scuola Normale Superiore (Pisa) from October 7 to October 11, 2019.
The call for registration and other information are available at
Deadline for registration: 31st August 2019.
*Courses* The programme includes 5 minicourses of 6 hours each.
- Jean Barbier (ICTP Trieste): Mean field theory of high-dimensional Bayesian inference - Philipp Grohs (University of Vienna): Approximation theory, Numerical Analysis and Deep Learning - Gabriel Peyré (ENS and CNRS, Paris): Optimal Transport for Data Science - Lars Ruthotto (Emory University): Numerical Methods for Deep Learning - Stefano Soatto (with Alessandro Achille) (UCLA): Representation Learning
*Short communications*
The programme will include also up to 12 short communications of 20 minutes each. When registering, each prospective participant who wishes to deliver a short communication is invited to submit the title and abstract of his/her talk together with a reference letter of his/her advisor or post-doc mentor. The reference letter should be sent directly by the letter writer by e-mail to: crm@crm.sns.it Deadline for application: 31st July 2019.
*The Scientific Committee* Luigi Ambrosio (Scuola Normale Superiore) Michele Benzi (Scuola Normale Superiore) Pierluigi Contucci (Università di Bologna) Fabrizio Lillo (Università di Bologna) ---------------------------------------- Fabrizio Lillo Dipartimento di Matematica Università di Bologna ITALY
Personal website: fabriziolillo.wordpress.com University website: www.unibo.it/sitoweb/fabrizio.lillo http://fabriziolillo.wordpress.com/
phone: +39 050509159