By Marcell Stippinger 2025-06-12
The AI ambassadors of HUN-REN Wigner RCP are organizing a journal club. Everyone interested in physics informed neural networks (PINN) from HUN-REN Wigner RCP or other HUN-REN or Hungarian academic institutions are welcome. To get an overview of the event series, click here.
Todays papers
- Wang, Sifan, Shyam Sankaran, Hanwen Wang, and Paris Perdikaris. „An Expert’s Guide to Training Physics-Informed Neural Networks”.
- 2023, arXiv
- https://doi.org/10.48550/arXiv.2308.08468
- more theory, on boundary conditions
- Krishnapriyan, Aditi S, Amir Gholami, Shandian Zhe, Robert M Kirby, and Michael W Mahoney. „Characterizing Possible Failure Modes in Physics-Informed Neural Networks”
- 2021, Advances in Neural Information Processing Systems 34: 26548-26560
- https://proceedings.neurips.cc/paper/2021/hash/df438e5206f31600e6ae4af72f2725f1-Abstract.html
- more advanced, regularization
Presented by: Ferenc Csikor
How to join
It is preferred to read the selected paper in advance for a more in-depth discussion. For each paper we select a participant in advance who is asked to present the paper on the big srceen.
You can join our journal club
- in person: Department of Computational Sciences, HUN-REN Wigner RCP, Building 6, Floor 2
- via Zoom: Meeting ID: 846 7811 0320, Passcode: 947438