Please check our papers and if the code and data are not publicly available, they may be shared upon reasonable request.

The code and data are results of collaborative works. Please cite related papers. Check the code on github for:

• Data quality meseaures
• Binary decision on some manifolds
• Test statistic on Hyperspheres
• Transfer learning
• Learning and regression on Grassmannian manifolds
• Classifying Probability Density Functions
• Learning and Inference on Probability Density Functions with Constrained Gaussian Process (with Spherical HMC)
• Low Complexity Regression Models with Gaussian Process Prior
• Reduced Rank Spectral Mixtures Gaussian Processes
• Sampling from a manifold