Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies.
Hanna ZiescheLeonel RozoPublished in: NeurIPS (2023)
Keyphrases
- gaussian mixture
- gaussian mixture model
- em algorithm
- closed form
- covariance matrix
- probability density function
- expectation maximization
- probability density
- active contour model
- density estimation
- gradient flows
- mixture model
- kl divergence
- covariance matrices
- active contours
- energy functional
- riemannian metric
- geometric active contours
- machine learning
- dimensionality reduction
- higher order
- probability distribution
- feature space
- gradient flow