Machine Learning Seminar presentation
Topic: Deformation approximation: Improve your Artificial Neural Network training using the Finite Element Method formulation. A case for static deformations.
Speaker: Alban Odot, Ph.D. student at INRIA Strasbourg (MIMESIS-Inria)
Time: Wednesday, 2022.03.16, 10:00 CET
How to join: Please contact Jakub Lengiewicz
The Finite Element Method is often used as the numerical method of reference for solving the PDE associated with non-linear object deformations. In order to solve the resulting energy minimisation equations, root-finding algorithms such as the Newton-Raphson method are used. During its iterative process, the Newton-Raphson reveals important information about the state of the system which can be used in both the dataset formulation and the training policy.
Video recording: https://youtu.be/FNIX0XCix8c