Gaussian Process Change Point Models. - Yunus Saatci; Ryan D. Turner; Carl Edward Rasmussen (ICML, 2010)

State-Space Inference and Learning with Gaussian Processes. - Ryan D. Turner; Marc Peter Deisenroth; Carl Edward Rasmussen (AISTATS, 2010)

Model based learning of sigma points in unscented Kalman filtering. - Ryan D. Turner; Carl Edward Rasmussen (Neurocomputing, 2012)

Robust Filtering and Smoothing with Gaussian Processes. - Marc Peter Deisenroth; Ryan D. Turner; Marco F. Huber; Uwe D. Hanebeck; Carl Edward Rasmussen (IEEE Trans. Autom. Control., 2012)

Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking. - Ryan D. Turner; Steven Bottone; Clay J. Stanek (NIPS, 2013)

A Complete Variational Tracker. - Ryan D. Turner; Steven Bottone; Bhargav Avasarala (NIPS, 2014)

Metropolis-Hastings Generative Adversarial Networks. - Ryan D. Turner; Jane Hung; Yunus Saatci; Jason Yosinski (CoRR, 2018)

Metropolis-Hastings Generative Adversarial Networks. - Ryan D. Turner; Jane Hung; Eric Frank; Yunus Saatchi; Jason Yosinski (ICML, 2019)