Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires

2 December 2022

Papers citing "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires"

6 / 6 papers shown

Title
A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System Qijun Chen Shaofan Li 44 0 0 07 Mar 2025
Physics-informed neural networks for parameter learning of wildfire spreading K. Vogiatzoglou C. Papadimitriou V. Bontozoglou Konstantinos Ampountolas 33 1 0 20 Jun 2024
A Neural Emulator for Uncertainty Estimation of Fire Propagation Andrew Bolt Conrad Sanderson J. Dabrowski C. Huston Petra Kuhnert 17 3 0 10 May 2023
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 131 438 0 18 Dec 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 180 759 0 13 Mar 2020
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012