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HyperPINN: Learning parameterized differential equations with
  physics-informed hypernetworks

HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks

28 October 2021
Filipe de Avila Belbute-Peres
Yi-fan Chen
Fei Sha
    PINN
ArXiv (abs)PDFHTML

Papers citing "HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks"

23 / 23 papers shown
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed MethodsInternational Conference on Learning Representations (ICLR), 2024
Lise Le Boudec
Emmanuel de Bézenac
Louis Serrano
Ramon Daniel Regueiro-Espino
Yuan Yin
Patrick Gallinari
AI4CE
418
6
0
24 Dec 2025
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
Rafael Bischof
Michal Piovarči
Michael A. Kraus
Siddhartha Mishra
Bernd Bickel
PINNAI4CE
404
0
0
05 Sep 2025
A comprehensive analysis of PINNs: Variants, Applications, and Challenges
A comprehensive analysis of PINNs: Variants, Applications, and Challenges
Afila Ajithkumar Sophiya
Akarsh K Nair
S. Maleki
S. Krishnababu
PINNAI4CE
132
2
0
28 May 2025
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Jian Cheng Wong
Abhishek Gupta
Chin Chun Ooi
P. Chiu
Jiao Liu
Yew-Soon Ong
PINNAI4CE
325
0
0
11 Jan 2025
jinns: a JAX Library for Physics-Informed Neural Networks
jinns: a JAX Library for Physics-Informed Neural Networks
Hugo Gangloff
Nicolas Jouvin
AI4CE
237
1
0
18 Dec 2024
Rational-WENO: A lightweight, physically-consistent three-point weighted
  essentially non-oscillatory scheme
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
S. Shahane
Sheide Chammas
Deniz A. Bezgin
Aaron B. Buhendwa
Steffen J. Schmidt
...
Spencer H. Bryngelson
Yi-Fan Chen
Qing Wang
Fei Sha
Leonardo Zepeda-Núñez
272
2
0
13 Sep 2024
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
Inass Soukarieh
Gerhard Hessler
Hervé Minoux
Marcel Mohr
Friedemann Schmidt
Jan Wenzel
Pierre Barbillon
Hugo Gangloff
Pierre Gloaguen
178
1
0
26 Aug 2024
Learning Hamiltonian neural Koopman operator and simultaneously
  sustaining and discovering conservation law
Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law
Jingdong Zhang
Qunxi Zhu
Wei Lin
265
11
0
04 Jun 2024
Neural Parameter Regression for Explicit Representations of PDE Solution
  Operators
Neural Parameter Regression for Explicit Representations of PDE Solution Operators
Konrad Mundinger
Max Zimmer
Sebastian Pokutta
264
1
0
19 Mar 2024
CoLoRA: Continuous low-rank adaptation for reduced implicit neural
  modeling of parameterized partial differential equations
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
Jules Berman
Benjamin Peherstorfer
224
15
0
22 Feb 2024
HyperDeepONet: learning operator with complex target function space
  using the limited resources via hypernetwork
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Jae Yong Lee
S. Cho
H. Hwang
260
30
0
26 Dec 2023
Meta-learning of Physics-informed Neural Networks for Efficiently
  Solving Newly Given PDEs
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs
Tomoharu Iwata
Yusuke Tanaka
N. Ueda
AI4CE
176
6
0
20 Oct 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural
  Networks
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
Woojin Cho
Kookjin Lee
Donsub Rim
Noseong Park
AI4CEPINN
238
37
0
14 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
872
19
0
08 Oct 2023
Multiple Case Physics-Informed Neural Network for Biomedical Tube Flows
Multiple Case Physics-Informed Neural Network for Biomedical Tube Flows
Hong Shen Wong
Wei Xuan Chan
Bing Huan Li
Choon Hwai Yap
PINNAI4CE
62
3
0
26 Sep 2023
A Brief Review of Hypernetworks in Deep Learning
A Brief Review of Hypernetworks in Deep LearningArtificial Intelligence Review (AIR), 2023
Vinod Kumar Chauhan
Jiandong Zhou
Ping Lu
Soheila Molaei
David Clifton
513
147
0
12 Jun 2023
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For
  Advection-Dominated Systems
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated SystemsInternational Conference on Learning Representations (ICLR), 2023
Z. Y. Wan
Leonardo Zepeda-Núñez
Anudhyan Boral
Fei Sha
BDLAI4CE
258
15
0
25 Jan 2023
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and
  PINNs
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs
Ritam Majumdar
Vishal Sudam Jadhav
A. Deodhar
Shirish S. Karande
Lovekesh Vig
Venkataramana Runkana
PINN
169
6
0
20 Dec 2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Tian Qin
Alex Beatson
Deniz Oktay
N. McGreivy
Ryan P. Adams
AI4CE
148
16
0
03 Nov 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
PDEBENCH: An Extensive Benchmark for Scientific Machine LearningNeural Information Processing Systems (NeurIPS), 2022
M. Takamoto
T. Praditia
Raphael Leiteritz
Dan MacKinlay
Francesco Alesiani
Dirk Pflüger
Mathias Niepert
AI4CE
615
333
0
13 Oct 2022
Physics Informed Symbolic Networks
Physics Informed Symbolic Networks
Ritam Majumdar
Vishal Sudam Jadhav
A. Deodhar
Shirish S. Karande
Lovekesh Vig
Venkataramana Runkana
PINN
228
1
0
11 Jul 2022
Deep Learning and Symbolic Regression for Discovering Parametric
  Equations
Deep Learning and Symbolic Regression for Discovering Parametric EquationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Michael Zhang
Samuel Kim
Peter Y. Lu
M. Soljavcić
278
35
0
01 Jul 2022
Discretization-independent surrogate modeling over complex geometries
  using hypernetworks and implicit representations
Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations
J. Duvall
Karthik Duraisamy
Shaowu Pan
AI4CE
285
5
0
14 Sep 2021
1
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