Sledovat
Vikash K. Mansinghka
Vikash K. Mansinghka
MIT, Probabilistic Computing Project
E-mailová adresa ověřena na: mit.edu - Domovská stránka
Název
Citace
Citace
Rok
Church: a language for generative models
N Goodman, V Mansinghka, DM Roy, K Bonawitz, JB Tenenbaum
arXiv preprint arXiv:1206.3255, 2012
8812012
A new approach to probabilistic programming inference
F Wood, JW Meent, V Mansinghka
Artificial intelligence and statistics, 1024-1032, 2014
3422014
Picture: A probabilistic programming language for scene perception
TD Kulkarni, P Kohli, JB Tenenbaum, V Mansinghka
Proceedings of the ieee conference on computer vision and pattern …, 2015
2062015
Venture: a higher-order probabilistic programming platform with programmable inference
V Mansinghka, D Selsam, Y Perov
arXiv preprint arXiv:1404.0099, 2014
2012014
Reconciling intuitive physics and Newtonian mechanics for colliding objects.
AN Sanborn, VK Mansinghka, TL Griffiths
Psychological review 120 (2), 411, 2013
1742013
Gen: A general-purpose probabilistic programming system with programmable inference
MF Cusumano-Towner, FA Saad, A Lew, VK and Mansinghka
Technical Report MIT-CSAIL-TR-2018-020, Computer Science and Artificial …, 2019
1192019
Intuitive theories of mind: A rational approach to false belief
ND Goodman, CL Baker, EB Bonawitz, VK Mansinghka, A Gopnik, ...
Proceedings of the twenty-eighth annual conference of the cognitive science …, 2006
1112006
Approximate bayesian image interpretation using generative probabilistic graphics programs
VK Mansinghka, TD Kulkarni, YN Perov, J Tenenbaum
Advances in Neural Information Processing Systems 26, 2013
1092013
Structured priors for structure learning
V Mansinghka, C Kemp, T Griffiths, J Tenenbaum
arXiv preprint arXiv:1206.6852, 2012
942012
Learning annotated hierarchies from relational data
DM Roy, C Kemp, V Mansinghka, J Tenenbaum
Advances in neural information processing systems 19, 2006
722006
Natively probabilistic computation
VK Mansinghka
Massachusetts Institute of Technology, Department of Brain and Cognitive …, 2009
622009
Natively probabilistic computation
VK Mansinghka
Massachusetts Institute of Technology, Department of Brain and Cognitive …, 2009
622009
A probabilistic model of cross-categorization
P Shafto, C Kemp, V Mansinghka, JB Tenenbaum
Cognition 120 (1), 1-25, 2011
572011
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
402019
Learning cross-cutting systems of categories
P Shafto, C Kemp, V Mansinghka, M Gordon, JB Tenenbaum
Proceedings of the 28th annual conference of the Cognitive Science Society …, 2006
402006
Variational particle approximations
A Saeedi, TD Kulkarni, VK Mansinghka, SJ Gershman
The Journal of Machine Learning Research 18 (1), 2328-2356, 2017
342017
Combinational stochastic logic
VK Mansinghka, EM Jonas
US Patent 8,352,384, 2013
332013
Variational particle approximations
A Saeedi, TD Kulkarni, VK Mansinghka, SJ Gershman
The Journal of Machine Learning Research 18 (1), 2328-2356, 2017
322017
Probabilistic programming with programmable inference
VK Mansinghka, U Schaechtle, S Handa, A Radul, Y Chen, M and Rinard
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018
312018
Stochastic digital circuits for probabilistic inference
VK Mansinghka, EM Jonas, JB Tenenbaum
Massachussets Institute of Technology, Technical Report MITCSAIL-TR 2069, 2008
302008
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20