Differential equations can describe various natural and social phenomena. Machine learning is a powerful and effective way in solving and discovering differential equations. The aim of this seminar is to invite eminent scholars from home and abroad to deliver talks on machine learning and differential equations every week.
Time
08:50 - 12:15, every Thursday, from Sept. 1, 2022
Frequency
Weekly
Organizers
Fansheng Xiong, Wuyue Yang, Wen-An Yong, Yi Zhu
Our Publications Related to Machine Learning
Location
Room: BIMSA 1129B
ZOOM: 537 192 5549 (PW: BIMSA)
Schedule
Date |
Speaker |
Title |
Video |
Jan 05, 2023 |
Gang Yan |
Inferring the Structure and Dynamics of Complex Networked Systems |
Video |
Dec 22, 2022 |
Jiequn Han |
Learning Nonlocal Constitutive Models with Neural Operators |
Video |
Dec 15, 2022 |
Zhi-Qin John Xu |
探索神经网络解微分方程的理论与应用 |
Video |
Dec 08, 2022 |
Qianxiao Li |
Approximation Theory of Deep Learning from the Dynamical Systems Viewpoint |
Video |
Dec 01, 2022 |
Jianwei Ma |
基于深度学习的地震勘探速度建模 |
Video |
Nov 24, 2022 |
Tao Zhou |
Deep adaptive sampling for numerical PDEs |
Video |
Nov 17, 2022 |
Wei Zhu |
Symmetry-preserving machine learning for computer vision, scientific computing, and distribution learning |
Video |
Nov 10, 2022 |
Xiaoli Chen |
Data driven method to learn the stochastic dynamical systems and its application in polymer dynamics |
Video |
Nov 03, 2022 |
Zhiqiang Cai |
Neural Nets and Numerical PDEs |
Video |
Oct 27, 2022 |
Lu Lu |
Learning operators using deep neural networks for multiphysics, multiscale & multifidelity problems |
Video |
Oct 20, 2022 |
David Bortz |
Data-Driven Modeling and Learning Using the Weak Form |
Video |
Oct 13, 2022 |
Wei Cai |
Deep Neural Network Algorithms for Oscillatory Flows, Causality Operators, and High Dimensional Fokker-Planck Equations |
Video |
Oct 13, 2022 |
Ameya D. Jagtap |
Physics-Informed Neural Networks for Scientific Computations: Algorithms and Applications |
Video |
Sep 29, 2022 |
Han Wang |
Deep learning molecular dynamics simulation |
Video |
Sep 22, 2022 |
Hao Sun |
Data-driven Discovery of Physics |
Video |
Sep 15, 2022 |
Zuoqiang Shi |
Differential Equation Model for Semi-supervised Learning |
Video |
Sep 08, 2022 |
George Em Karniadakis |
From Neural PDEs to Neural Operators: Blending data and physics for fast predictions |
Video |