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Adaptive Self-supervision Algorithms for Physics-informed Neural
  Networks

Adaptive Self-supervision Algorithms for Physics-informed Neural Networks

European Conference on Artificial Intelligence (ECAI), 2022
8 July 2022
Shashank Subramanian
Robert M. Kirby
Michael W. Mahoney
A. Gholami
ArXiv (abs)PDFHTMLGithub (28★)

Papers citing "Adaptive Self-supervision Algorithms for Physics-informed Neural Networks"

18 / 18 papers shown
Efficient Global-Local Fusion Sampling for Physics-Informed Neural Networks
Efficient Global-Local Fusion Sampling for Physics-Informed Neural Networks
Jiaqi Luo
Shixin Xu
Zhouwang Yang
114
0
0
28 Oct 2025
HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution
HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution
Qiongyang Hu
Wenyang Liu
Wenbin Zou
Yuejiao Su
Lap-Pui Chau
Yi Wang
296
5
0
08 Oct 2025
A Variational Framework for Residual-Based Adaptivity in Neural PDE Solvers and Operator Learning
A Variational Framework for Residual-Based Adaptivity in Neural PDE Solvers and Operator Learning
Juan Diego Toscano
Daniel T. Chen
Vivek Oommen
Jérome Darbon
George Karniadakis
220
4
0
17 Sep 2025
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
Xuyang Li
Mahdi Masmoudi
Rami Gharbi
N. Lajnef
Vishnu Boddeti
AI4CE
203
0
0
29 Aug 2025
Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks
Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks
Antoine Caradot
Rémi Emonet
Amaury Habrard
Abdel-Rahim Mezidi
M. Sebban
302
0
0
01 Apr 2025
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine
  Learning
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
Juan Diego Toscano
Vivek Oommen
Alan John Varghese
Zongren Zou
Nazanin Ahmadi Daryakenari
Chenxi Wu
George Karniadakis
PINNAI4CE
335
170
0
17 Oct 2024
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic
  Programming
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming
Xiaoran Cheng
Sen Na
PINN
308
1
0
16 Sep 2024
Optimal time sampling in physics-informed neural networks
Optimal time sampling in physics-informed neural networks
Gabriel Turinici
PINN
210
3
0
29 Apr 2024
Investigating Guiding Information for Adaptive Collocation Point
  Sampling in PINNs
Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs
Jose Florido
He Wang
Amirul Khan
P. Jimack
222
7
0
18 Apr 2024
Deep adaptive sampling for surrogate modeling without labeled data
Deep adaptive sampling for surrogate modeling without labeled data
Xili Wang
Keju Tang
Jiayu Zhai
Xiaoliang Wan
Chao Yang
216
8
0
17 Feb 2024
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning
  (PIML) Methods: Towards Robust Metrics
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics
Michael Penwarden
H. Owhadi
Robert M. Kirby
AI4CE
230
4
0
16 Feb 2024
Bayesian Reasoning for Physics Informed Neural Networks
Bayesian Reasoning for Physics Informed Neural Networks
K. Graczyk
Kornel Witkowski
314
0
0
25 Aug 2023
Efficient Training of Physics-Informed Neural Networks with Direct Grid
  Refinement Algorithm
Efficient Training of Physics-Informed Neural Networks with Direct Grid Refinement Algorithm
Shikhar Nilabh
F. Grandia
157
1
0
14 Jun 2023
A unified scalable framework for causal sweeping strategies for
  Physics-Informed Neural Networks (PINNs) and their temporal decompositions
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositionsJournal of Computational Physics (JCP), 2023
Michael Penwarden
Ameya Dilip Jagtap
Shandian Zhe
George Karniadakis
Robert M. Kirby
PINNAI4CE
391
96
0
28 Feb 2023
Learning Physical Models that Can Respect Conservation Laws
Learning Physical Models that Can Respect Conservation LawsInternational Conference on Machine Learning (ICML), 2023
Derek Hansen
Danielle C. Maddix
S. Alizadeh
Gaurav Gupta
Michael W. Mahoney
AI4CE
538
71
0
21 Feb 2023
Physics-aware deep learning framework for linear elasticity
Physics-aware deep learning framework for linear elasticity
Anisha Roy
Rikhi Bose
AI4CE
365
9
0
19 Feb 2023
Failure-informed adaptive sampling for PINNs, Part II: combining with
  re-sampling and subset simulation
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulationCommunication on Applied Mathematics and Computation (CAMC), 2023
Zhi-Hao Gao
Tao Tang
Liang Yan
Tao Zhou
366
31
0
03 Feb 2023
Failure-informed adaptive sampling for PINNs
Failure-informed adaptive sampling for PINNsSIAM Journal on Scientific Computing (SISC), 2022
Zhiwei Gao
Liang Yan
Tao Zhou
498
153
0
01 Oct 2022
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