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2305.17387
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Learning from Integral Losses in Physics Informed Neural Networks
27 May 2023
Ehsan Saleh
Saba Ghaffari
Timothy Bretl
Luke N. Olson
Matthew West
PINN
AI4CE
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Papers citing
"Learning from Integral Losses in Physics Informed Neural Networks"
7 / 7 papers shown
Title
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
25
6
0
28 Dec 2023
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation
Shuyu Yin
Tao Luo
Peilin Liu
Z. Xu
11
2
0
25 May 2022
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-xiong Wang
20
13
0
06 Oct 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition
K. Shukla
Ameya Dilip Jagtap
George Karniadakis
PINN
98
272
0
20 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
278
0
12 Feb 2021
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
245
655
0
23 Mar 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
117
506
0
11 Mar 2020
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