Vikash K. Mansinghka
Vikash K. Mansinghka
MIT, Probabilistic Computing Project
Verifierad e-postadress på mit.edu - Startsida
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Church: a language for generative models
N Goodman, V Mansinghka, DM Roy, K Bonawitz, JB Tenenbaum
arXiv preprint arXiv:1206.3255, 2012
6842012
A new approach to probabilistic programming inference
F Wood, JW Meent, V Mansinghka
Artificial Intelligence and Statistics, 1024-1032, 2014
2542014
Venture: a higher-order probabilistic programming platform with programmable inference
V Mansinghka, D Selsam, Y Perov
arXiv preprint arXiv:1404.0099, 2014
1592014
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
1362015
Reconciling intuitive physics and Newtonian mechanics for colliding objects.
AN Sanborn, VK Mansinghka, TL Griffiths
Psychological review 120 (2), 411, 2013
1322013
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
902006
Approximate bayesian image interpretation using generative probabilistic graphics programs
VK Mansinghka, TD Kulkarni, YN Perov, J Tenenbaum
Advances in Neural Information Processing Systems, 1520-1528, 2013
852013
Structured priors for structure learning
V Mansinghka, C Kemp, T Griffiths, J Tenenbaum
arXiv preprint arXiv:1206.6852, 2012
812012
Learning annotated hierarchies from relational data
DM Roy, C Kemp, VK Mansinghka, JB Tenenbaum
Advances in neural information processing systems, 1185-1192, 2007
662007
Natively probabilistic computation
VK Mansinghka
Massachusetts Institute of Technology, Department of Brain and Cognitive …, 2009
552009
Natively probabilistic computation
VK Mansinghka
Massachusetts Institute of Technology, Department of Brain and Cognitive …, 2009
552009
A probabilistic model of cross-categorization
P Shafto, C Kemp, V Mansinghka, JB Tenenbaum
Cognition 120 (1), 1-25, 2011
512011
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
Combinational stochastic logic
VK Mansinghka, EM Jonas
US Patent 8,352,384, 2013
262013
BayesDB: A probabilistic programming system for querying the probable implications of data
V Mansinghka, R Tibbetts, J Baxter, P Shafto, B Eaves
arXiv preprint arXiv:1512.05006, 2015
222015
Stochastic digital circuits for probabilistic inference
VK Mansinghka, EM Jonas, JB Tenenbaum
Massachussets Institute of Technology, Technical Report MITCSAIL-TR 2069, 2008
212008
Learning grounded causal models
ND Goodman, VK Mansinghka, JB Tenenbaum
Proceedings of the Annual Meeting of the Cognitive Science Society 29 (29), 2007
212007
A stochastic programming perspective on nonparametric Bayes
DM Roy, VK Mansinghka, ND Goodman, JB Tenenbaum
Nonparametric Bayesian Workshop, Int. Conf. on Machine Learning 22, 26, 2008
202008
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
192019
Particle Gibbs with Ancestor Sampling for Probabilistic Programs.
JW van de Meent, H Yang, V Mansinghka, FD Wood
AISTATS, 2015
192015
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Artiklar 1–20