Marcus A Brubaker
Marcus A Brubaker
Research Director, Borealis AI; Assistant Professor, York University
Verified email at eecs.yorku.ca - Homepage
Title
Cited by
Cited by
Year
Stan: a probabilistic programming language
B Carpenter, A Gelman, M Hoffman, D Lee, B Goodrich, M Betancourt, ...
Journal of Statistical Software 76 (1), 2017
23422017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker
Nature Methods 14 (3), 290, 2017
6082017
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization
MA Brubaker, A Geiger, R Urtasun
Computer Vision and Pattern Recognition, 2013. CVPR 2013. IEEE Conference on, 2013
1562013
Alignment of cryo-EM movies of individual particles by optimization of image translations
JL Rubinstein, MA Brubaker
Journal of Structural Biology 192 (2), 188-195, 2014
1302014
Physics-based person tracking using the anthropomorphic walker
MA Brubaker, DJ Fleet, A Hertzmann
International Journal of Computer Vision 87 (1), 140-155, 2010
1072010
Estimating contact dynamics
MA Brubaker, L Sigal, DJ Fleet
Computer Vision, 2009 IEEE 12th International Conference on, 2389-2396, 2009
842009
The kneed walker for human pose tracking
MA Brubaker, DJ Fleet
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
842008
Physics-based person tracking using simplified lower-body dynamics
MA Brubaker, DJ Fleet, A Hertzmann
Computer Vision and Pattern Recognition, 2007. CVPR 2007. IEEE Conference on …, 2007
732007
The Stan math library: Reverse-mode automatic differentiation in C++
B Carpenter, MD Hoffman, M Brubaker, D Lee, P Li, M Betancourt
arXiv preprint arXiv:1509.07164, 2015
642015
Map-Based Probabilistic Visual Self-Localization
M Brubaker, A Geiger, R Urtasun
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (4), 652-665, 2015
622015
A Family of MCMC Methods on Implicitly Defined Manifolds
MA Brubaker, M Salzmann, R Urtasun
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012
592012
Efficient Optimization for Sparse Gaussian Process Regression
Y Cao, MA Brubaker, DJ Fleet, A Hertzmann
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (12), 2415 …, 2015
422015
Efficient optimization for sparse Gaussian process regression
Y Cao, MA Brubaker, DJ Fleet, A Hertzmann
Advances in Neural Information Processing Systems, 1097-1105, 2013
422013
TMaCS: A hybrid template matching and classification system for partially-automated particle selection
J Zhao, MA Brubaker, JL Rubinstein
Journal of Structural Biology, 2013
312013
Description and comparison of algorithms for correcting anisotropic magnification in cryo-EM images
J Zhao, MA Brubaker, S Benlekbir, JL Rubinstein
Journal of Structural Biology 192 (2), 209 - 215, 2015
302015
Find your way by observing the sun and other semantic cues
WC Ma, S Wang, MA Brubaker, S Fidler, R Urtasun
2017 IEEE International Conference on Robotics and Automation (ICRA), 6292-6299, 2017
252017
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy
N Jaitly, MA Brubaker, JL Rubinstein, RH Lilien
Bioinformatics 26 (19), 2406-2415, 2010
252010
Video-based people tracking
MA Brubaker, L Sigal, DJ Fleet
Handbook of Ambient Intelligence and Smart Environments, 57-87, 2010
252010
rstan: R Interface to Stan
J Guo, D Lee, K Sakrejda, J Gabry, B Goodrich, J De Guzman, E Niebler, ...
R 534, 0-3, 2016
232016
Two-Stream Convolutional Networks for Dynamic Texture Synthesis
M Tesfaldet, MA Brubaker, KG Derpanis
Computer Vision and Pattern Recognition, 2018. CVPR 2018. IEEE Conference on …, 2018
192018
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