Pinned Repositories
contact-symplectic-integrator-network
Contact-Aware Symplectic Integrator Network
Doubly-Stochastic-DGP
Deep Gaussian Processes with Doubly Stochastic Variational Inference
gibbs-rtss
Gibbs-Sampling based Rauch-Tung-Striebel Smoother (Code for ACC 2011 paper)
gp-adf
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)
Graph-Gaussian-Processes
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
PAML
Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).
pilco-matlab
PILCO policy search framework (Matlab version)
python-project-template
Riemannian-Gaussian-Processes
rl-trading-challenge
SML Group at UCL's Repositories
UCL-SML/Doubly-Stochastic-DGP
Deep Gaussian Processes with Doubly Stochastic Variational Inference
UCL-SML/pilco-matlab
PILCO policy search framework (Matlab version)
UCL-SML/gibbs-rtss
Gibbs-Sampling based Rauch-Tung-Striebel Smoother (Code for ACC 2011 paper)
UCL-SML/gp-adf
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)
UCL-SML/python-project-template
UCL-SML/rl-trading-challenge
UCL-SML/Aligning-Time-Series
UCL-SML/contact-symplectic-integrator-network
Contact-Aware Symplectic Integrator Network
UCL-SML/Graph-Gaussian-Processes
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
UCL-SML/moap-bml-workshop
Accompanying tutorials for my talk "Kriging in the age of machine learning", presented at the UCL-MOAP workshop on "Bayesian Machine Learning for Weather and Climate".
UCL-SML/PAML
Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).
UCL-SML/Riemannian-Gaussian-Processes