Marcus A Brubaker

Cited by

	All	Since 2015
Citations	5441	5108
h-index	20	19
i10-index	30	27

1900

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20092010201120122013201420152016201720182019202030 34 63 51 50 66 133 272 540 986 1320 1816

Co-authors

David J FleetGoogle Brain; University of Toronto; Vector InstituteVerified email at cs.toronto.edu
John L. RubinsteinSenior Scientist, The Hospital for Sick Children.Verified email at utoronto.ca
Daniel LeeGenerableVerified email at alum.mit.edu
Ali PunjaniPhD Candidate, University of Toronto, Vector InstituteVerified email at cs.toronto.edu
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.edu
Bob CarpenterColumbia UniversityVerified email at alias-i.com
Matthew D. HoffmanResearch Scientist, Google ResearchVerified email at google.com
Benjamin GoodrichColumbia UniversityVerified email at columbia.edu
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Allen RiddellIndiana University BloomingtonVerified email at indiana.edu
Leonid SigalAssociate Professor, University of British ColumbiaVerified email at cs.ubc.ca
Aaron HertzmannAdobeVerified email at adobe.com
Andreas GeigerProfessor of Computer Science, University of Tübingen and MPI-ISVerified email at tue.mpg.de
Ivan KobyzevML Researcher, Borealis AIVerified email at uwaterloo.ca
Simon J.D. PrinceComputer Science, University College LondonVerified email at cs.ucl.ac.uk
Yanshuai CaoResearch Lead @ Borealis AI (RBC Institute for Research); University of TorontoVerified email at cs.toronto.edu
Rishab GoelMilaVerified email at mila.quebec
Seyed Mehran KazemiMachine Learning Researcher at Borealis AIVerified email at cs.ubc.ca
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Mathieu SalzmannEPFLVerified email at epfl.ch

Marcus A Brubaker

Assistant Professor, York University; Faculty Affiliate, Vector Institute

Verified email at eecs.yorku.ca - Homepage

Computer Vision Machine Learning Statistics


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Stan: a probabilistic programming language B Carpenter, A Gelman, M Hoffman, D Lee, B Goodrich, M Betancourt, ... Journal of Statistical Software 76 (1), 2017	3106	2017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker Nature Methods 14 (3), 290, 2017	967	2017
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	160	2013
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	140	2014
Physics-based person tracking using the anthropomorphic walker MA Brubaker, DJ Fleet, A Hertzmann International Journal of Computer Vision 87 (1), 140-155, 2010	114	2010
Estimating contact dynamics MA Brubaker, L Sigal, DJ Fleet Computer Vision, 2009 IEEE 12th International Conference on, 2389-2396, 2009	95	2009
The kneed walker for human pose tracking MA Brubaker, DJ Fleet Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008	86	2008
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	83	2015
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	76	2015
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	76	2007
A Family of MCMC Methods on Implicitly Defined Manifolds MA Brubaker, M Salzmann, R Urtasun International Conference on Artificial Intelligence and Statistics (AISTATS), 2012	67	2012
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	46	2015
Efficient optimization for sparse Gaussian process regression Y Cao, MA Brubaker, DJ Fleet, A Hertzmann Advances in Neural Information Processing Systems, 1097-1105, 2013	46	2013
TMaCS: A hybrid template matching and classification system for partially-automated particle selection J Zhao, MA Brubaker, JL Rubinstein Journal of Structural Biology, 2013	31	2013
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	30	2016
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	29	2017
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	29	2015
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	25	2010
Video-based people tracking MA Brubaker, L Sigal, DJ Fleet Handbook of Ambient Intelligence and Smart Environments, 57-87, 2010	25	2010

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