Dynamically Stable Poincaré Embeddings for Neural Manifolds.
Jun ChenYuang LiuXiangrui ZhaoYong LiuPublished in: CoRR (2021)
Keyphrases
- manifold learning
- euclidean space
- low dimensional
- finite dimensional
- network architecture
- low dimensional spaces
- neural network
- high dimensional data
- manifold embedding
- vector space
- high dimensional
- dimensionality reduction
- higher dimensional
- hilbert space
- shape analysis
- dimension reduction
- low dimensional manifolds
- multi type
- neural fuzzy
- bio inspired
- riemannian manifolds
- nonlinear predictive control
- infinite dimensional
- neural computation
- associative memory
- metric space
- principal component analysis
- feature extraction
- latent space
- neural model
- geometric structure
- natural images
- semi supervised
- data points
- learning algorithm