Events
May 10 - May 4, 2025
May 3 - Apr 27, 2025
Apr 26 - Apr 20, 2025
Apr 12 - Apr 6, 2025
Mar 29 - Mar 23, 2025
Mar 22 - Mar 16, 2025
Mar 15 - Mar 9, 2025
One-on-One Statistical Consulting for KAUST Researchers
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B1 L4 R4102
Mar 8 - Mar 2, 2025
Mar 1 - Feb 23, 2025
Feb 22 - Feb 16, 2025
Feb 15 - Feb 9, 2025
Feb 8 - Feb 2, 2025
Feb 1 - Jan 26, 2025
Dec 7 - Dec 1, 2024
Nov 30 - Nov 24, 2024
Nov 23 - Nov 17, 2024
The KAUST 2024 Workshop on Statistics
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Auditorium between Building 4 - 5
Jun 1 - May 26, 2024
May 25 - May 19, 2024
May 11 - May 5, 2024
May 4 - Apr 28, 2024
Apr 27 - Apr 21, 2024
On Distribution-Free Risk Control
Michael Jordan, Professor Emeritus, University of California, Berkeley
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B9 L4 R4225
An Alternative View on AI: Collaborative Learning, Statistical Incentives, and Social Welfare
Michael Jordan, Professor Emeritus, University of California, Berkeley
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Auditorium between B2 and 3
Apr 20 - Apr 14, 2024
Towards Self-explainable Deep Learning Models
Prof. Michael Kampffmeyer, UiT The Arctic University of Norway
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B1 L4 R 4102
Can neural ODEs forecast weather?
Dr. Markus Heinonen, Academy Research Fellow, Aalto Univeristy, Finland
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B1 L4 R 4102
Apr 6 - Mar 31, 2024
Mar 30 - Mar 24, 2024
Mar 23 - Mar 17, 2024
Mar 9 - Mar 3, 2024
Mar 2 - Feb 25, 2024
Feb 17 - Feb 11, 2024
Feb 10 - Feb 4, 2024
Feb 3 - Jan 28, 2024
Think globally, act locally: from domain decomposition to nonlinear model order reduction
Prof. Charbel Farhat
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KAUST Auditorium R2030
Jan 27 - Jan 21, 2024
Dec 9 - Dec 3, 2023
Dec 2 - Nov 26, 2023
Nov 25 - Nov 19, 2023
Nov 18 - Nov 12, 2023
Family of Mean-Mixtures of Multivariate Normal Distributions
Prof. Narayanaswamy Balakrishnan, Department of Mathematics and Statistics, McMaster University
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B1 L4 R4102
