Deep neural network on PDEs
Speaker: Ayan Chakraborty (Faculty of Mathematics and Physics, Leibniz University Hannover, Germany)
Title: Deep neural network on PDEs
Time: Wednesday, 2021.12.08, 10:00 a.m. (CET)
Place: fully virtual (contact Jakub Lengiewicz to register)
Format: 30 min. presentation + 30 min. discussion
Abstract: In this seminar, we will focus on the connections of deep learning-based approximation methods for partial differential equations (PDEs). We will briefly discuss the mathematical analysis of such deep learning-based approximation algorithms and demonstrate the design and the performance of such algorithms in the context of PDEs.