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A physics-informed neural network framework for modeling
  obstacle-related equations

A physics-informed neural network framework for modeling obstacle-related equations

7 April 2023
Hamid EL Bahja
J. C. Hauffen
P. Jung
B. Bah
Issa Karambal
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "A physics-informed neural network framework for modeling obstacle-related equations"

4 / 4 papers shown
Title
Multi-level Neural Networks for high-dimensional parametric obstacle problems
Multi-level Neural Networks for high-dimensional parametric obstacle problems
Martin Eigel
Cosmas Heiß
Janina Enrica Schutte
AI4CE
21
0
0
07 Apr 2025
WANCO: Weak Adversarial Networks for Constrained Optimization problems
WANCO: Weak Adversarial Networks for Constrained Optimization problems
Gang Bao
Dong Wang
Boyi Zou
39
1
0
04 Jul 2024
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1