Machine learning of dynamic processes and time series analysis

The School aims to present recent mathematical and data-driven approaches to Machine Learning for time series.

In particular, this year, the School will focus on the mathematical and computational aspects of Signatures, Reinforcement Learning, GAN, and Continual Learning. Four keynote speakers will hold minicourses. There will also be a limited number of contributed talks.

Keynote Speakers

• Davide Bacciu (University of Pisa)  
• Xin Guo (UC Berkeley)  
• Sebastian Jaimungal (University of Toronto)
• Terry Lyons (University of Oxford)

Scientific Committee

• Fabrizio Lillo (University of Bologna - Scuola Normale Superiore)
• Giulia Livieri (Scuola Normale Superiore)
• Stefano Marmi (Scuola Normale Superiore)
• Piero Mazzarisi (Scuola Normale Superiore)