On Characterizing the Evolution of Embedding Space of Neural Networks using Algebraic Topology.
Suryaka SureshBishshoy DasVinayak AbrolSumantra Dutta RoyPublished in: CoRR (2023)
Keyphrases
- neural network
- embedding space
- manifold learning
- euclidean space
- pattern recognition
- dimensionality reduction
- low dimensional
- graph embedding
- high dimensional
- input space
- machine learning
- feature selection
- geodesic distance
- data points
- feature space
- dimension reduction
- geometric structure
- data analysis
- nonlinear dimensionality reduction
- feature extraction
- data sets