Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture

27 May 2022

Chia-Yuan Chang

Daochen Zha

Papers citing "Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture"

3 / 3 papers shown

Title
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance Panos Pantidis Habiba Eldababy Christopher Miguel Tagle M. Mobasher 27 20 0 03 Mar 2023
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 15 28 0 05 Oct 2022
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 69 220 0 26 Apr 2021