Predicting the impact of treatments over time with uncertainty aware neural differential equations.
Edward De BrouwerJavier GonzalezStephanie L. HylandPublished in: AISTATS (2022)
Keyphrases
- differential equations
- dynamical systems
- ordinary differential equations
- boundary value problem
- numerical solution
- network architecture
- brownian motion
- partial differential equations
- neural network
- numerical methods
- numerical integration
- control theory
- nonlinear differential equations
- difference equations
- transmission line
- boundary conditions
- back propagation
- object recognition
- image segmentation
- runge kutta
- machine learning