Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
Konstantin HessValentyn MelnychukDennis FrauenStefan FeuerriegelPublished in: CoRR (2023)
Keyphrases
- differential equations
- dynamical systems
- brownian motion
- numerical methods
- bayesian estimation
- numerical solution
- boundary value problem
- ordinary differential equations
- maximum likelihood
- neural network
- control theory
- partial differential equations
- transmission line
- parameter estimation
- higher order
- difference equations
- network architecture
- nonlinear differential equations
- least squares
- state space
- computational complexity
- machine learning