MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation.
Akshay ThakurSouvik ChakrabortyPublished in: CoRR (2024)
Keyphrases
- stochastic differential equations
- nonlinear manifold
- manifold learning
- maximum a posteriori estimation
- mixture model
- brownian motion
- low dimensional
- gaussian distribution
- gaussian mixture model
- multiscale
- fractional brownian motion
- pattern recognition
- image features
- expectation maximization
- dimension reduction
- differential equations
- long range
- additive gaussian noise
- pairwise