Subspace and manifold learning

SpectraNet-SO(3): Learning Satellite Orientation from Optical Spectra by Implicitly Modeling Mutually Exclusive Probability Distributions on the Rotation Manifold

A Controllable Lifestyle Simulator for use in Deep Reinforcement Learning Algorithms

Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs

Counterfactual explanation for multivariate times series using a contrastive variational autoencoder

Multilayer Subspace Learning with Self-sparse Robustness for Two-dimensional Feature Extraction

Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features

ROBUST BINARY COMPONENT DECOMPOSITIONS