Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2302.08796
Cited By
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks
17 February 2023
Shuai Han
Lukas Stelz
Horst Stoecker
L. Wang
Kai Zhou
AI4CE
PINN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks"
3 / 3 papers shown
Title
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
Shuai Han
Lukas Stelz
Thomas R. Sokolowski
K. Zhou
H. Stocker
23
0
0
07 Apr 2025
A data augmentation strategy for deep neural networks with application to epidemic modelling
Muhammad Awais
Abu Sayfan Ali
Giacomo Dimarco
Federica Ferrarese
Lorenzo Pareschi
27
0
0
28 Feb 2025
COVID-19 Modeling: A Review
LongBing Cao
Qing Liu
40
44
0
16 Apr 2021
1