Marcus A Brubaker

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David J FleetGoogle Brain; University of Toronto; Universiity of Toronto Scarborough; Vector InstituteVerified email at cs.toronto.edu
John L. RubinsteinSenior Scientist, The Hospital for Sick Children.Verified email at utoronto.ca
Ali PunjaniPhD Candidate, University of Toronto, Vector InstituteVerified email at cs.toronto.edu
Daniel LeeGenerableVerified email at alum.mit.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
Aaron HertzmannAdobeVerified email at adobe.com
Leonid SigalAssociate Professor, University of British ColumbiaVerified email at cs.ubc.ca
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
Yanshuai CaoSenior Research 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
Simon J.D. PrinceComputer Science, University College LondonVerified email at cs.ucl.ac.uk
Ruizhi DengSimon Fraser UniversityVerified email at sfu.ca

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	3809	2017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker Nature Methods 14 (3), 290, 2017	1299	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	171	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	151	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	121	2010
Estimating contact dynamics MA Brubaker, L Sigal, DJ Fleet IEEE International Conference on Computer Vision (ICCV), 2389-2396, 2009	108	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	107	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	94	2015
The kneed walker for human pose tracking MA Brubaker, DJ Fleet IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008	92	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	90	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	84	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	74	2012
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	33	2016
Efficient optimization for sparse Gaussian process regression Y Cao, MA Brubaker, DJ Fleet, A Hertzmann Neural Information Processing Systems (NeurIPS), 2013	33	2013
Diachronic embedding for temporal knowledge graph completion R Goel, SM Kazemi, MA Brubaker, P Poupart AAAI Conference on Artificial Intelligence, 2020	32	2020
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	32	2017
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
Noise Flow: Noise Modeling with Conditional Normalizing Flows A Abdelhamed, MA Brubaker, MS Brown IEEE International Conference on Computer Vision (ICCV), 2019	31	2019
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	29	2018

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