Neural Implicit Manifold Learning for Topology-Aware Density Estimation.
Brendan Leigh RossGabriel Loaiza-GanemAnthony L. CateriniJesse C. CresswellPublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- manifold learning
- density estimation
- mixture model
- dimensionality reduction
- low dimensional
- semi supervised
- probability density function
- high dimensional
- density function
- probability density
- outlier detection
- neural network
- high dimensional data
- sparse representation
- feature extraction
- feature space
- gaussian mixture model
- dimension reduction
- gaussian mixture
- geodesic distance
- unsupervised learning
- pattern recognition
- feature vectors
- training set
- density estimates