Marcus A Brubaker

Cited by

	All	Since 2016
Citations	6059	5573
h-index	22	20
i10-index	31	26

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200920102011201220132014201520162017201820192020202130 34 63 51 50 66 134 272 543 981 1327 2357 56

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
Bob CarpenterFlatiron Institute, Center for Computational MathematicsVerified email at flatironinstitute.org
Matthew D. HoffmanResearch Scientist, Google ResearchVerified email at google.com
Benjamin GoodrichColumbia UniversityVerified email at columbia.edu
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.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 uni-tuebingen.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	3451	2017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker Nature Methods 14 (3), 290, 2017	1126	2017
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization MA Brubaker, A Geiger, R Urtasun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013	166	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	143	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	117	2010
Estimating contact dynamics MA Brubaker, L Sigal, DJ Fleet IEEE International Conference on Computer Vision (ICCV), 2389-2396, 2009	100	2009
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	87*	2020
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	87	2015
The kneed walker for human pose tracking MA Brubaker, DJ Fleet IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008	87	2008
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	86	2015
Physics-based person tracking using simplified lower-body dynamics MA Brubaker, DJ Fleet, A Hertzmann IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 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	70	2012
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	48	2015
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	48	2015
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	32	2016
TMaCS: A hybrid template matching and classification system for partially-automated particle selection J Zhao, MA Brubaker, JL Rubinstein Journal of Structural Biology, 2013	32	2013
Find your way by observing the sun and other semantic cues WC Ma, S Wang, MA Brubaker, S Fidler, R Urtasun IEEE International Conference on Robotics and Automation (ICRA), 6292-6299, 2017	30	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	30	2015
Two-Stream Convolutional Networks for Dynamic Texture Synthesis M Tesfaldet, MA Brubaker, KG Derpanis IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6703-6712, 2018	26	2018
Diachronic embedding for temporal knowledge graph completion R Goel, SM Kazemi, MA Brubaker, P Poupart AAAI Conference on Artificial Intelligence, 2020	25	2020

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