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Ryan D. Turner
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Journal Articles
- 2012
- [j2]Ryan D. Turner, Carl Edward Rasmussen:
Model based learning of sigma points in unscented Kalman filtering. Neurocomputing 80: 47-53 (2012) - [j1]Marc Peter Deisenroth, Ryan D. Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen:
Robust Filtering and Smoothing with Gaussian Processes. IEEE Trans. Autom. Control. 57(7): 1865-1871 (2012)
Conference and Workshop Papers
- 2019
- [c5]Ryan D. Turner, Jane Hung, Eric Frank, Yunus Saatchi, Jason Yosinski:
Metropolis-Hastings Generative Adversarial Networks. ICML 2019: 6345-6353 - 2014
- [c4]Ryan D. Turner, Steven Bottone, Bhargav Avasarala:
A Complete Variational Tracker. NIPS 2014: 496-504 - 2013
- [c3]Ryan D. Turner, Steven Bottone, Clay J. Stanek:
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking. NIPS 2013: 306-314 - 2010
- [c2]Yunus Saatci, Ryan D. Turner, Carl Edward Rasmussen:
Gaussian Process Change Point Models. ICML 2010: 927-934 - [c1]Ryan D. Turner, Marc Peter Deisenroth, Carl Edward Rasmussen:
State-Space Inference and Learning with Gaussian Processes. AISTATS 2010: 868-875
Informal and Other Publications
- 2018
- [i2]Ryan D. Turner, Jane Hung, Yunus Saatci, Jason Yosinski:
Metropolis-Hastings Generative Adversarial Networks. CoRR abs/1811.11357 (2018) - 2012
- [i1]Marc Peter Deisenroth, Ryan D. Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen:
Robust Filtering and Smoothing with Gaussian Processes. CoRR abs/1203.4345 (2012)
Coauthor Index
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