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

Title
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 339 5 0 24 Dec 2025
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions Rafael Bischof Michal Piovarči Michael A. Kraus Siddhartha Mishra Bernd Bickel PINN AI4CE 358 0 0 05 Sep 2025
A comprehensive analysis of PINNs: Variants, Applications, and Challenges Afila Ajithkumar Sophiya Akarsh K Nair S. Maleki S. Krishnababu PINN AI4CE 119 2 0 28 May 2025
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 PINN AI4CE 279 3 0 11 Jan 2025
jinns: a JAX Library for Physics-Informed Neural Networks Hugo Gangloff Nicolas Jouvin AI4CE 194 1 0 18 Dec 2024
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 221 2 0 13 Sep 2024
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 135 1 0 26 Aug 2024
Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law Jingdong Zhang Qunxi Zhu Wei Lin 205 11 0 04 Jun 2024
Neural Parameter Regression for Explicit Representations of PDE Solution Operators Konrad Mundinger Max Zimmer Sebastian Pokutta 226 1 0 19 Mar 2024
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations Jules Berman Benjamin Peherstorfer 196 15 0 22 Feb 2024
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork Jae Yong Lee S. Cho H. Hwang 211 29 0 26 Dec 2023
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs Tomoharu Iwata Yusuke Tanaka N. Ueda AI4CE 164 6 0 20 Oct 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks Woojin Cho Kookjin Lee Donsub Rim Noseong Park AI4CE PINN 215 37 0 14 Oct 2023
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 833 19 0 08 Oct 2023
Multiple Case Physics-Informed Neural Network for Biomedical Tube Flows Hong Shen Wong Wei Xuan Chan Bing Huan Li Choon Hwai Yap PINN AI4CE 44 3 0 26 Sep 2023
A Brief Review of Hypernetworks in Deep LearningArtificial Intelligence Review (AIR), 2023 Vinod Kumar Chauhan Jiandong Zhou Ping Lu Soheila Molaei David Clifton 441 146 0 12 Jun 2023
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 BDL AI4CE 194 14 0 25 Jan 2023
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 158 6 0 20 Dec 2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh Tian Qin Alex Beatson Deniz Oktay N. McGreivy Ryan P. Adams AI4CE 133 15 0 03 Nov 2022
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 494 324 0 13 Oct 2022
Physics Informed Symbolic Networks Ritam Majumdar Vishal Sudam Jadhav A. Deodhar Shirish S. Karande Lovekesh Vig Venkataramana Runkana PINN 193 1 0 11 Jul 2022
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 222 34 0 01 Jul 2022
Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations J. Duvall Karthik Duraisamy Shaowu Pan AI4CE 267 5 0 14 Sep 2021