Ryan D. Turner

According to our database, Ryan D. Turner authored at least 8 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Metropolis-Hastings Generative Adversarial Networks.

Ryan D. Turner, Jane Hung, Eric Frank, Yunus Saatchi, Jason Yosinski

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Metropolis-Hastings Generative Adversarial Networks.

Ryan D. Turner, Jane Hung, Yunus Saatci, Jason Yosinski

CoRR, 2018

2014

A Complete Variational Tracker.

Ryan D. Turner, Steven Bottone, Bhargav Avasarala

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking.

Ryan D. Turner, Steven Bottone, Clay J. Stanek

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

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

Model based learning of sigma points in unscented Kalman filtering.

Ryan D. Turner, Carl Edward Rasmussen

Neurocomputing, 2012

2010

State-Space Inference and Learning with Gaussian Processes.

Ryan D. Turner, Marc Peter Deisenroth, Carl Edward Rasmussen

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Gaussian Process Change Point Models.

Yunus Saatci, Ryan D. Turner, Carl Edward Rasmussen

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010