| 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 | 382 | 2010 |
| 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 | 133 | 2011 |
| 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 | 48 | 2019 |
| 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 | 29 | 2013 |
| 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 | 20 | 2019 |
| 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 | 14 | 2018 |
| Trace types and denotational semantics for sound programmable inference in probabilistic languages AK Lew, MF Cusumano-Towner, B Sherman, M Carbin, VK Mansinghka Proceedings of the ACM on Programming Languages 4 (POPL), 1-32, 2019 | 10 | 2019 |
| Probabilistic programs for inferring the goals of autonomous agents MF Cusumano-Towner, A Radul, D Wingate, VK Mansinghka arXiv preprint arXiv:1704.04977, 2017 | 10 | 2017 |
| 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 | 10 | 2017 |
| Using probabilistic programs as proposals MF Cusumano-Towner, VK Mansinghka arXiv preprint arXiv:1801.03612, 2018 | 8 | 2018 |
| A design proposal for Gen: probabilistic programming with fast custom inference via code generation M Cusumano-Towner, VK Mansinghka Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine …, 2018 | 7 | 2018 |
| Quantifying the probable approximation error of probabilistic inference programs MF Cusumano-Towner, VK Mansinghka arXiv preprint arXiv:1606.00068, 2016 | 6 | 2016 |
| Encapsulating models and approximate inference programs in probabilistic modules MF Cusumano-Towner, VK Mansinghka arXiv preprint arXiv:1612.04759, 2016 | 5 | 2016 |
| Automating involutive mcmc using probabilistic and differentiable programming M Cusumano-Towner, AK Lew, VK Mansinghka arXiv preprint arXiv:2007.09871, 2020 | 4 | 2020 |
| Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming MF Cusumano-Towner, VK Mansinghka arXiv preprint arXiv:1612.02161, 2016 | 2 | 2016 |
| Using probabilistic programs as proposals. arXiv, 2018 MF Cusumano-Towner, KM Vikash URL http://arxiv. org/abs, 1801 | 2 | 1801 |
| Structured differentiable models of 3D scenes via generative scene graphs B Zinberg, M Cusumano-Towner, VK Mansinghka | 1 | |
| Gen: a high-level programming platform for probabilistic inference MF Cusumano-Towner Massachusetts Institute of Technology, 2020 | | 2020 |
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerified email at mit.edu
