AMS Sectional Meeting AMS Special Session
Current as of Sunday, October 9, 2022 03:30:04
2022 Fall Eastern Sectional Meeting
- University of Massachusetts-Amherst, Amherst, MA
- October 1-2, 2022 (Saturday - Sunday)
- Meeting #1180
Associate Secretary for the AMS Scientific Program:
Steven H Weintraub, Lehigh University shw2@lehigh.edu
Special Session on Machine Learning Methods for PDEs I
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Saturday October 1, 2022, 3:00 p.m.-6:00 p.m.
Special Session on Machine Learning Methods for PDEs I
143, Lederle Graduate Research Tower
Organizers:
Yulong Lu, University of Massachusetts Amherst lu@math.umass.edu
Wuzhe Xu, University of Massachusetts Amherst
-
3:00 p.m.
A Neural Network Approach for Homogenization of Multiscale Problems
Jihun Han, Dartmouth College
Yoonsang Lee*, Dartmouth College
(1180-65-15579) -
4:00 p.m.
Learning Nonlocal (Integral) Operators for Heterogeneous Material Modeling
Yue Yu*, Lehigh University
(1180-45-15584) -
5:00 p.m.
Greedy Training Algorithms for Neural Networks and Applications to PDEs
Qingguo Hong*, The Pennsylvania State University
(1180-65-15877)
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3:00 p.m.
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Sunday October 2, 2022, 9:00 a.m.-11:00 a.m.
Special Session on Machine Learning Methods for PDEs II
143, Lederle Graduate Research Tower
Organizers:
Yulong Lu, University of Massachusetts Amherst lu@math.umass.edu
Wuzhe Xu, University of Massachusetts Amherst
-
8:00 a.m.
TALK WITHDRAWN: A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Lu Lu, University of Pennsylvania
Chenxi Wu*, Brown University
Min Zhu, University of Pennsylvania
(1180-35-16212) -
9:00 a.m.
Respecting causality is all you need for training physics-informed neural networks
Sifan Wang*, University of Pennsylvania
(1180-35-15924) -
10:00 a.m.
Solving PDEs via robust physics informed neural networks and physics informed deep operator networks
Wuzhe Xu*, University of Massachusetts Amherst
(1180-35-16220)
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8:00 a.m.
Inquiries: meet@ams.org