"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)