Bayesian Neural Controlled Differential Equations

Artificial Intelligence Machine Learning

Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning

root January 8, 2024 0

Physics-informed neural network (PINN) is a data-driven solver for differential equations, providing a unified framework to address both forward and inverse problems. However, the complexity of the objective function often…

Machine Learning

Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation

root October 27, 2023 0

This research proposed a Bayesian neural controlled differential equation (BNCDE) for estimating treatment effects over time in healthcare. Traditional methods are limited to point estimates, but the BNCDE provides meaningful…

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Bayesian Neural Controlled Differential Equations

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