The purpose of this research school is to showcase recent developments in Rough Path Theory (RPT) in machine learning (ML) for understanding complex multimodal data streams. This 5-day spring school is composed of 9 mini courses delivered by leading experts in this field, to cover topics from methodological innovation to real-world applications. Two invited keynote talks, along with a panel discussion, will further broaden the scope of the mini courses and stimulate the discussion on general mathematical approaches in ML and data science.
Juergen Jost, Max Planck Institute for Mathematics in the Sciences, Germany
Terry Lyons, University of Oxford, United Kingdom
Duc Luu, MIS-Germany & Institute of Mathematics, VAST, Vietnam
Hao Ni, University College London, United Kingdom
Viet Hung Pham, Institute of Mathematics, VAST, Vietnam