MariusZeinhofer / Natural-Gradient-PINNs-ICML23
This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Descent"
☆11Updated last month
Related projects ⓘ
Alternatives and complementary repositories for Natural-Gradient-PINNs-ICML23
- ☆19Updated 4 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆28Updated 4 months ago
- ☆37Updated last year
- POD-PINN code and manuscript☆46Updated 2 weeks ago
- ☆85Updated 3 years ago
- DeepONet extrapolation☆24Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆21Updated 7 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆87Updated 2 years ago
- PDE Preserved Neural Network☆33Updated 4 months ago
- Example problems in Physics informed neural network in JAX☆76Updated last year
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated 11 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆16Updated 5 months ago
- Multifidelity DeepONet☆27Updated last year
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆24Updated 4 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆36Updated 3 months ago
- ☆61Updated 5 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆16Updated 11 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆19Updated last year
- ☆44Updated 10 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆58Updated last year
- Neural Galerkin☆14Updated last year
- Practicum on Supervised Learning in Function Spaces☆32Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- The code is associated with the paper entitled "KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamica…☆14Updated last week
- A library for dimensionality reduction on spatial-temporal PDE☆60Updated 7 months ago
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- Competitive Physics Informed Networks☆26Updated 2 months ago