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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART:20260329T030000
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DTSTART;TZID=Europe/Berlin:20211208T160000
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CREATED:20211201
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SUMMARY:Neural network and partial differential equations
DESCRIPTION:Speaker: Prof. Dr. Lexing Ying\nAffiliation: Stanford University, Department of Mathematics and ICME, Institute for Computational and Mathematical Engineering (USA)\nOrganized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany)\nZoom meeting link\nMeeting ID: 627 2528 2026 | PIN: 138876\nAbstract. In this talk, we will discuss recent interaction between neural networks and partial differential equations. In one direction, neural networks have brought some recent successes in solving partial differential equation problems. In the other direction, partial differential equations offer new perspectives on architecture design, optimization, and generative modeling.\nThis event on LinkedIn\n
URL:https://dcn.nat.fau.eu/events/neural-network-and-partial-differential-equations/
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CATEGORIES:FAU DCN-AvH Seminar
LOCATION:FAU DCN-AvH
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