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A Curriculum-Training-Based Strategy for Distributing Collocation Points
  during Physics-Informed Neural Network Training

A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training

21 November 2022
Marcus Münzer
C. Bard
ArXivPDFHTML

Papers citing "A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training"

5 / 5 papers shown
Title
Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization
Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization
Amin Yousefpour
Shirin Hosseinmardi
Xiangyu Sun
Ramin Bostanabad
36
0
0
18 Mar 2025
Learning and Verifying Maximal Taylor-Neural Lyapunov functions
Learning and Verifying Maximal Taylor-Neural Lyapunov functions
Matthieu Barreau
Nicola Bastianello
29
1
0
30 Aug 2024
Efficient training of physics-informed neural networks via importance
  sampling
Efficient training of physics-informed neural networks via importance sampling
M. A. Nabian
R. J. Gladstone
Hadi Meidani
DiffM
PINN
71
222
0
26 Apr 2021
Curriculum Learning: A Survey
Curriculum Learning: A Survey
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
N. Sebe
ODL
67
338
0
25 Jan 2021
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
O. Hennigh
S. Narasimhan
M. A. Nabian
Akshay Subramaniam
Kaustubh Tangsali
M. Rietmann
J. Ferrandis
Wonmin Byeon
Z. Fang
S. Choudhry
PINN
AI4CE
93
126
0
14 Dec 2020
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