Planning

Week Mon. 20 Tue. 21 Wed. 22 Thu. 23 List

	Mon. 20	Tue. 21	Wed. 22	Thu. 23
09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00	Welcome coffee & session 13:30 - 14:00 (30min) Welcome coffee & session Amphi, 1st floor R. Fablet Keynote: AI & Earth Observation 14:00 - 15:00 (1h) Keynote: AI & Earth Observation Amphi, 1st floor Dr. Mihai Datcu https://ai4oac.sciencesconf.org/data/program/AI4Ocean.docx Keynote: Optimal Transport for Image Assimilation 15:00 - 16:00 (1h) Keynote: Optimal Transport for Image Assimilation Amphi, 1st floor Dr. Nicolas papadakis Coffee break 16:00 - 16:30 (30min) Coffee break Open forum 16:30 - 18:00 (1h30) Open forum Amphi, 1st floor R. Fablet & J. Le Sommer	Keynote: from symbolic PDEs to trainable neural networks 9:00 - 10:00 (1h) Keynote: from symbolic PDEs to trainable neural networks Room #20X (3rd floor) Olivier Pannekoucke Coffee break 10:00 - 10:30 (30min) Coffee break Co-working room (1st floor) Working groups Tutorial: Introduction to Deep Learning 10:30 - 12:30 (2h) Working groups Meeting rooms (2nd floor) 10:30 - 12:30 (2h) Tutorial: Introduction to Deep Learning Room #20X (3rd floor) R. Fablet Lunch 12:30 - 14:00 (1h30) Lunch Co-working room (1st floor) Working groups 14:00 - 16:30 (2h30) Working groups Meeting rooms (2nd floor) Coffee break 16:30 - 17:00 (30min) Coffee break Keynote: Towards Better Understanding Generalization in Deep Learning 17:00 - 18:00 (1h) Keynote: Towards Better Understanding Generalization in Deep Learning Room #20X (3rd floor) Dr. Samy Bengio	Keynote: Principal Component Analysis for multivariate extremes. 9:00 - 10:00 (1h) Keynote: Principal Component Analysis for multivariate extremes. Amphi, 1st floor Dr. Anne Sabourin Coffee break 10:00 - 10:30 (30min) Coffee break Co-working room (1st floor) Working groups 10:30 - 12:30 (2h) Working groups Meeting rooms (2nd floor) Lunch 12:30 - 14:00 (1h30) Lunch Amphi, 1st floor Keynote: Ensemble-based RKHS learning of the Koopman operator for predictions of QG flows 14:00 - 15:00 (1h) Keynote: Ensemble-based RKHS learning of the Koopman operator for predictions of QG flows Dr. Gilles Tissot Working groups 15:00 - 16:00 (1h) Working groups Meeting rooms (2nd floor) Coffee break 16:00 - 16:30 (30min) Coffee break Co-working room (1st floor) Working groups 16:30 - 18:00 (1h30) Working groups Meeting rooms (2nd floor)	Working groups 9:00 - 10:00 (1h) Working groups Meeting rooms (2nd floor) Coffee break 10:00 - 10:30 (30min) Coffee break Co-working room (1st floor) Wrap-up session 10:30 - 12:30 (2h) Wrap-up session Room #20X (3rd floor) Lunch 12:30 - 13:30 (1h) Lunch Co-working room (1st floor)

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