2 papers
cs.SC2025
Algebraically Observable Physics-Informed Neural Network and its Application to Epidemiological Modelling
Mizuka Komatsu
Physics-Informed Neural Network (PINN) is a deep learning framework that integrates the governing equations underlying data into a loss function. In this study, we consider the pro…
cs.LG2024
Estimate Epidemiological Parameters given Partial Observations based on Algebraically Observable PINNs
Mizuka Komatsu
In this study, we considered the problem of estimating epidemiological parameters based on physics-informed neural networks (PINNs). In practice, not all trajectory data correspond…