Marco Cusumano-Towner
Marco Cusumano-Towner
Graduate Student, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding
J Maitin-Shepard, M Cusumano-Towner, J Lei, P Abbeel
2010 IEEE International Conference on Robotics and Automation, 2308-2315, 2010
3522010
Bringing clothing into desired configurations with limited perception
M Cusumano-Towner, A Singh, S Miller, JF O'Brien, P Abbeel
2011 IEEE International Conference on Robotics and Automation, 3893-3900, 2011
1232011
A social network of hospital acquired infection built from electronic medical record data
M Cusumano-Towner, DY Li, S Tuo, G Krishnan, DM Maslove
Journal of the American Medical Informatics Association 20 (3), 427-434, 2013
272013
Gen: a general-purpose probabilistic programming system with programmable inference
MF Cusumano-Towner, FA Saad, AK Lew, VK Mansinghka
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019
262019
Bayesian synthesis of probabilistic programs for automatic data modeling
FA Saad, MF Cusumano-Towner, U Schaechtle, MC Rinard, ...
Proceedings of the ACM on Programming Languages 3 (POPL), 1-32, 2019
122019
Incremental inference for probabilistic programs
M Cusumano-Towner, B Bichsel, T Gehr, M Vechev, VK Mansinghka
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018
82018
Probabilistic programs for inferring the goals of autonomous agents
MF Cusumano-Towner, A Radul, D Wingate, VK Mansinghka
arXiv preprint arXiv:1704.04977, 2017
82017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
M Cusumano-Towner, VK Mansinghka
Advances in Neural Information Processing Systems, 3000-3010, 2017
82017
Using probabilistic programs as proposals
MF Cusumano-Towner, VK Mansinghka
arXiv preprint arXiv:1801.03612, 2018
62018
Quantifying the probable approximation error of probabilistic inference programs
MF Cusumano-Towner, VK Mansinghka
arXiv preprint arXiv:1606.00068, 2016
52016
Encapsulating models and approximate inference programs in probabilistic modules
MF Cusumano-Towner, VK Mansinghka
arXiv preprint arXiv:1612.04759, 2016
42016
Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming
MF Cusumano-Towner, VK Mansinghka
arXiv preprint arXiv:1612.02161, 2016
12016
The system can't perform the operation now. Try again later.
Articles 1–12