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An Analysis of Physics-Informed Neural Networks

An Analysis of Physics-Informed Neural Networks

6 March 2023
E. Small
    PINN
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Papers citing "An Analysis of Physics-Informed Neural Networks"

5 / 5 papers shown
Title
ElasticFace: Elastic Margin Loss for Deep Face Recognition
ElasticFace: Elastic Margin Loss for Deep Face Recognition
Fadi Boutros
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
CVBM
77
222
0
20 Sep 2021
A Review of automatic differentiation and its efficient implementation
A Review of automatic differentiation and its efficient implementation
C. Margossian
58
318
0
12 Nov 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINNAI4CE
91
614
0
28 Nov 2017
On Loss Functions for Deep Neural Networks in Classification
On Loss Functions for Deep Neural Networks in Classification
Katarzyna Janocha
Wojciech M. Czarnecki
UQCV
75
552
0
18 Feb 2017
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINNAI4CEODL
168
2,814
0
20 Feb 2015
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