Manifold GPLVMs for discovering non-Euclidean latent structure in neural data.

Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin

Published in: NeurIPS (2020)

Keyphrases

latent structure
training data
data points
data analysis
probability distribution
original data
knowledge discovery
information extraction
missing data
manifold learning
similarity measure
pairwise
low dimensional
euclidean space