Marcus A Brubaker

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David J FleetGoogle DeepMind; University of Toronto; 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
Bob CarpenterFlatiron Institute, Center for Computational MathematicsVerified email at flatironinstitute.org
Daniel LeeGenerableVerified email at alum.mit.edu
Matthew D. HoffmanResearch Scientist, Google ResearchVerified email at google.com
Konstantinos G. DerpanisYork University and Samsung AI Centre TorontoVerified email at eecs.yorku.ca
Michael S. BrownProfessor and Canada Research Chair, York University; Samsung AI Center (Toronto)Verified email at eecs.yorku.ca
Ivan KobyzevML Researcher, Huawei Noah's ArkVerified email at uwaterloo.ca
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
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
Simon J.D. PrinceUniversity of BathVerified email at cs.ucl.ac.uk
Mehran KazemiSenior Research Scientist, Google ResearchVerified email at google.com
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Leonid SigalProfessor, University of British ColumbiaVerified email at cs.ubc.ca
Ashkan MirzaeiUniversity of Toronto, NvidiaVerified email at cs.toronto.edu
Igor GilitschenskiAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Tristan Aumentado-ArmstrongPhD from University of Toronto | Samsung Artificial Intelligence Centre Toronto | York UniversityVerified email at mail.utoronto.ca

Marcus A Brubaker

Other namesMarcus Brubaker

Research Scientist, Google DeepMind; Associate Prof, York University; Affiliate, Vector Institute

Verified email at yorku.ca - Homepage

Computer Vision Machine Learning Statistics


Title Sort by citations Sort by year Sort by 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	8103	2017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker Nature Methods 14 (3), 290, 2017	6255	2017
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	1420	2020
Time2vec: Learning a vector representation of time SM Kazemi, R Goel, S Eghbali, J Ramanan, J Sahota, S Thakur, S Wu, ... arXiv preprint arXiv:1907.05321, 2019	397	2019
Diachronic embedding for temporal knowledge graph completion R Goel, SM Kazemi, MA Brubaker, P Poupart AAAI Conference on Artificial Intelligence, 2020	372	2020
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	299	2014
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	202	2013
Noise Flow: Noise Modeling with Conditional Normalizing Flows A Abdelhamed, MA Brubaker, MS Brown IEEE International Conference on Computer Vision (ICCV), 2019	188	2019
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	157	2015
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	145	2015
Physics-based person tracking using the anthropomorphic walker MA Brubaker, DJ Fleet, A Hertzmann International Journal of Computer Vision 87 (1), 140-155, 2010	138	2010
Estimating contact dynamics MA Brubaker, L Sigal, DJ Fleet IEEE International Conference on Computer Vision (ICCV), 2389-2396, 2009	133	2009
On the Effectiveness of Low Frequency Perturbations Y Sharma, GW Ding, MA Brubaker International Joint Conferences on Artificial Intelligence (IJCAI), 2019	122	2019
HistoGAN: Controlling colors of GAN-generated and real images via color histograms M Afifi, MA Brubaker, MS Brown IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021	121	2021
A Family of MCMC Methods on Implicitly Defined Manifolds MA Brubaker, M Salzmann, R Urtasun International Conference on Artificial Intelligence and Statistics (AISTATS), 2012	120	2012
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields A Mirzaei, T Aumentado-Armstrong, KG Derpanis, J Kelly, MA Brubaker, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023	100	2023
The kneed walker for human pose tracking MA Brubaker, DJ Fleet IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008	93	2008
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	91	2007
Efficient optimization for sparse Gaussian process regression Y Cao, MA Brubaker, DJ Fleet, A Hertzmann Advances in Neural Information Processing Systems 26, 2013	73	2013
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows R Deng, B Chang, MA Brubaker, G Mori, A Lehrmann Neural Information Processing Systems (NeurIPS), 2020	60	2020

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