Marcus A Brubaker
Marcus A Brubaker
Assistant Professor, York University; Faculty Affiliate, Vector Institute
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
31032017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker
Nature Methods 14 (3), 290, 2017
9662017
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
1602013
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
1402014
Physics-based person tracking using the anthropomorphic walker
MA Brubaker, DJ Fleet, A Hertzmann
International Journal of Computer Vision 87 (1), 140-155, 2010
1142010
Estimating contact dynamics
MA Brubaker, L Sigal, DJ Fleet
Computer Vision, 2009 IEEE 12th International Conference on, 2389-2396, 2009
942009
The kneed walker for human pose tracking
MA Brubaker, DJ Fleet
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
862008
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
822015
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
772007
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
762015
A Family of MCMC Methods on Implicitly Defined Manifolds
MA Brubaker, M Salzmann, R Urtasun
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012
672012
Normalizing Flows: An Introduction and Review of Current Methods
I Kobyzev, S Prince, MA Brubaker
IEEE Transactions of Pattern Analysis and Machine Intelligence (PAMI), 2020
58*2020
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
462015
Efficient optimization for sparse Gaussian process regression
Y Cao, MA Brubaker, DJ Fleet, A Hertzmann
Advances in Neural Information Processing Systems, 1097-1105, 2013
462013
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
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
302016
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
292017
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
292015
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
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