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UID:20240615T114621-890298227-northwestern.edu
DTSTAMP:20240615T114621
DTSTART:20240521T111500
DTEND:20240521T121500
SUMMARY:Appl Math: Andrew Stuart on "Operator Learning: Algorithms, Analysis and Applications"
LOCATION:M416, Technological Institute
DESCRIPTION:Title: Operator Learning: Algorithms, Analysis and Applications\nSpeaker: Andrew Stuart, California Institute of Technology\nAbstract: Approximating operators that map between function spaces can be useful for accelerating systems level tasks in scientific computing, and for discovering computational models from data. In its most basic form, learning an operator may be cast as a form of supervised learning in which the input-output pairs are functions. The talk will overview a variety of specific approximation architectures that have been developed in the last five years; emerging theoretical results explaining the approximation capabilities of the architectures will be explained; and applications to constitutive modeling (plasticity) and inverse problems (fluid mechanics) will be given.\nZoom: https://northwestern.zoom.us/j/92621833245\n-----\nTo subscribe to the Applied Mathematics Colloquia List send a message to LISTSERV@LISTSERV.IT.NORTHWESTERN.EDU with the command:\nadd esam-seminar Youremail Firstname Lastname\n\nPiP URL: https://planitpurple.northwestern.edu/event/609618
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ORGANIZER:McCormick-Engineering Sciences and Applied Mathematics (ESAM)