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Marcus A Brubaker
Marcus A Brubaker
Other namesMarcus Brubaker
Assistant Professor, York University; Faculty Affiliate, Vector Institute
Verified email at 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
59132017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker
Nature Methods 14 (3), 290, 2017
30772017
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
5092020
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
1992014
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
1822013
Diachronic embedding for temporal knowledge graph completion
R Goel, SM Kazemi, MA Brubaker, P Poupart
AAAI Conference on Artificial Intelligence, 2020
1412020
Physics-based person tracking using the anthropomorphic walker
MA Brubaker, DJ Fleet, A Hertzmann
International Journal of Computer Vision 87 (1), 140-155, 2010
1302010
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
1282019
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
1212015
Estimating contact dynamics
MA Brubaker, L Sigal, DJ Fleet
IEEE International Conference on Computer Vision (ICCV), 2389-2396, 2009
1212009
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
1202015
Noise Flow: Noise Modeling with Conditional Normalizing Flows
A Abdelhamed, MA Brubaker, MS Brown
IEEE International Conference on Computer Vision (ICCV), 2019
1022019
A Family of MCMC Methods on Implicitly Defined Manifolds
MA Brubaker, M Salzmann, R Urtasun
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012
1002012
The kneed walker for human pose tracking
MA Brubaker, DJ Fleet
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008
942008
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
892007
On the Effectiveness of Low Frequency Perturbations
Y Sharma, GW Ding, MA Brubaker
International Joint Conferences on Artificial Intelligence (IJCAI), 2019
722019
Efficient optimization for sparse Gaussian process regression
Y Cao, MA Brubaker, DJ Fleet, A Hertzmann
Advances in Neural Information Processing Systems 26, 2013
652013
Normalizing flows: Introduction and ideas
I Kobyzev, S Prince, MA Brubaker
arXiv preprint arXiv:1908.09257, 1551-3203, 2019
502019
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
462017
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
452018
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