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Marcus A Brubaker
Marcus A Brubaker
Assistant Professor, York University; Faculty Affiliate, Vector Institute
Verified email at eecs.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
55442017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
A Punjani, JL Rubinstein, DJ Fleet, MA Brubaker
Nature Methods 14 (3), 290, 2017
27082017
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
4142020
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
1942014
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
1802013
Physics-based person tracking using the anthropomorphic walker
MA Brubaker, DJ Fleet, A Hertzmann
International Journal of Computer Vision 87 (1), 140-155, 2010
1292010
Estimating contact dynamics
MA Brubaker, L Sigal, DJ Fleet
IEEE International Conference on Computer Vision (ICCV), 2389-2396, 2009
1192009
Diachronic embedding for temporal knowledge graph completion
R Goel, SM Kazemi, MA Brubaker, P Poupart
AAAI Conference on Artificial Intelligence, 2020
1182020
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
1182015
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
1162015
The kneed walker for human pose tracking
MA Brubaker, DJ Fleet
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008
942008
Noise Flow: Noise Modeling with Conditional Normalizing Flows
A Abdelhamed, MA Brubaker, MS Brown
IEEE International Conference on Computer Vision (ICCV), 2019
912019
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
902019
A Family of MCMC Methods on Implicitly Defined Manifolds
MA Brubaker, M Salzmann, R Urtasun
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012
902012
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
882007
Efficient optimization for sparse Gaussian process regression
Y Cao, MA Brubaker, DJ Fleet, A Hertzmann
Advances in Neural Information Processing Systems 26, 2013
632013
On the Effectiveness of Low Frequency Perturbations
Y Sharma, GW Ding, MA Brubaker
International Joint Conferences on Artificial Intelligence (IJCAI), 2019
612019
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
442017
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
432018
Building proteins in a day: Efficient 3d molecular structure estimation with electron cryomicroscopy
A Punjani, MA Brubaker, DJ Fleet
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (4), 706-718, 2017
392017
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