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Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural
  Networks

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks

14 October 2023
Woojin Cho
Kookjin Lee
Donsub Rim
Noseong Park
    AI4CE
    PINN
ArXivPDFHTML

Papers citing "Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks"

16 / 16 papers shown
Title
Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations
Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations
Uvini Balasuriya Mudiyanselage
Woojin Cho
Minju Jo
Noseong Park
Kookjin Lee
42
0
0
27 Mar 2025
Adaptive Physics-informed Neural Networks: A Survey
Adaptive Physics-informed Neural Networks: A Survey
Edgar Torres
Jonathan Schiefer
Mathias Niepert
PINN
AI4CE
63
0
0
23 Mar 2025
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
Yizheng Wang
Jinshuai Bai
M. Eshaghi
C. Anitescu
X. Zhuang
Timon Rabczuk
Yinghua Liu
AI4CE
48
1
0
02 Feb 2025
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction
  Equations Using Massive PINN-Based Prior Data
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data
Mingu Kang
Dongseok Lee
Woojin Cho
Jaehyeon Park
Kookjin Lee
Anthony Gruber
Youngjoon Hong
Noseong Park
DiffM
AI4CE
29
0
0
09 Oct 2024
FastLRNR and Sparse Physics Informed Backpropagation
FastLRNR and Sparse Physics Informed Backpropagation
Woojin Cho
Kookjin Lee
Noseong Park
Donsub Rim
Gerrit Welper
AI4CE
21
0
0
05 Oct 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor
  Localization
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
Michal Balcerak
Tamaz Amiranashvili
Andreas Wagner
Jonas Weidner
P. Karnakov
Johannes C. Paetzold
Ivan Ezhov
P. Koumoutsakos
Benedikt Wiestler
Bjoern H. Menze
AI4CE
20
2
0
30 Sep 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang
Dong-Young Lim
AI4CE
30
2
0
27 Sep 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs
Parameterized Physics-informed Neural Networks for Parameterized PDEs
Woojin Cho
Minju Jo
Haksoo Lim
Kookjin Lee
Dongeun Lee
Sanghyun Hong
Noseong Park
PINN
AI4CE
30
15
1
18 Aug 2024
A Low Rank Neural Representation of Entropy Solutions
A Low Rank Neural Representation of Entropy Solutions
Donsub Rim
Gerrit Welper
14
1
0
09 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
S. Pokutta
44
0
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
27
9
0
22 Feb 2024
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh
  Transformer
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
Youn-Yeol Yu
Jeongwhan Choi
Woojin Cho
Kookjin Lee
Nayong Kim
...
Ilho Kim
Seok-Woo Lee
Joon Young Yang
S. Yoon
Noseong Park
AI4CE
15
7
0
19 Dec 2023
Meta-Learning Sparse Compression Networks
Meta-Learning Sparse Compression Networks
Jonathan Richard Schwarz
Yee Whye Teh
54
25
0
18 May 2022
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
63
56
0
03 May 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
180
758
0
13 Mar 2020
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
317
11,681
0
09 Mar 2017
1