8h50-9h20 Registration and Welcome Coffee & Croissants
9h20-9h30 Opening
Session 1 : Machine Learning and Extremes
- 9h30-10h30 John Einmahl - Refining empirical data depth using statistics of extremes Presentation
10h30-11h Coffee Break
- 11h-11h30 Dan Cooley - Decomposition of Dependence for High Dimensional Extremes with Application to US Precipitation and Financial Data Presentation
- 11h30-12h Philippe Naveau - Learning complex spatial dependence structure among heavy rainfall or how to combine data within max-stable processes?
12h-13h45 Lunch (provided by the workshop)
- 13h45-14h15 Albert Thomas - The Mass Volume curve, a performance metric for unsupervised anomaly detection Presentation
- 14h15-14h45 Adrien Hitz - Graphical modeling of extremes
14h45-15h15 Coffee Break
Session 2 : Industrial Applications
15h15-17h15 Extreme phenomena in industrial applications / Panel Discussion
- 15h15-15h45 Vincent Feuillard - Application of DAMEX and CLEF Algorithm to functional data Presentation
- 15h45-16h15 Anouar Mellakh - Biometry for a billion plus revolution
- 16h15-17h15 Panel Discussion
17h30-19h Poster Session and Cocktail