Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
Konstantin HessValentyn MelnychukDennis FrauenStefan FeuerriegelPublished in: ICLR (2024)
Keyphrases
- differential equations
- dynamical systems
- bayesian estimation
- numerical solution
- network architecture
- boundary value problem
- neural network
- numerical methods
- ordinary differential equations
- feed forward artificial neural networks
- partial differential equations
- nonlinear differential equations
- difference equations
- brownian motion
- transmission line
- maximum likelihood
- parameter estimation
- bit rate
- runge kutta
- logic programs
- machine learning