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Upcoming Events
Date4:00 PM
Location
383N
Speaker
Yonghan Xiao, Peking University
Abstract
Date2:30 PM
Location
383N
Speaker
Dougal Davis (University of Melbourne)
Abstract
Date4:30 PM
Location
380Y
Speaker
Tristan Buckmaster (NYU Courant)
Abstract: This talk presents recent work on understanding certain solutions of PDE by combining modern mathematics with classical analysis. Machine learning, particularly Physics-Informed Neural Networks (PINNs), is being applied to discover new solutions to nonlinear PDEs with high accuracy. A…
Date2:00 PM
Location
383N
Speaker
Niclas Technau (Wisconsin)
Abstract
Date4:00 PM
Location
Sequoia 200
Speaker
Jacopo Borga (MIT)
Date4:00 PM
Location
383N
Speaker
Laura Wakelin, UT Austin
Abstract
Date4:30 PM
Location
380Y
Speaker
Tom Hutchcroft (Caltech)
Abstract
Date4:00 PM
Location
Sequoia 200
Speaker
Brice Huang (Stanford)