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Learning from Integral Losses in Physics Informed Neural Networks

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
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
19
6
0
28 Dec 2023
An Experimental Comparison Between Temporal Difference and Residual
  Gradient with Neural Network Approximation
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
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
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
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
278
0
12 Feb 2021
Meta Pseudo Labels
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
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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