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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"

6 / 6 papers shown
Title
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
28
2
0
27 Sep 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
42
0
0
19 Mar 2024
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
170
756
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
263
11,677
0
09 Mar 2017
1