Yura Perov
Yura Perov
Babylon Health, London, UK
Verified email at robots.ox.ac.uk - Homepage
TitleCited byYear
Venture: a higher-order probabilistic programming platform with programmable inference
V Mansinghka, D Selsam, Y Perov
arXiv preprint arXiv:1404.0099, 2014
1512014
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
792013
Gait optimization for roombots modular robots—Matching simulation and reality
R Moeckel, YN Perov, AT Nguyen, M Vespignani, S Bonardi, S Pouya, ...
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
152013
Venture: a higher-order probabilistic programming platform with programmable inference. arXiv
V Mansinghka, D Selsam, Y Perov
March, 2014
102014
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis
S Razzaki, A Baker, Y Perov, K Middleton, J Baxter, D Mullarkey, ...
arXiv preprint arXiv:1806.10698, 2018
92018
Learning probabilistic programs
YN Perov, FD Wood
arXiv preprint arXiv:1407.2646, 2014
92014
Automatic sampler discovery via probabilistic programming and approximate bayesian computation
Y Perov, F Wood
International Conference on Artificial General Intelligence, 262-273, 2016
62016
A universal marginalizer for amortized inference in generative models
L Douglas, I Zarov, K Gourgoulias, C Lucas, C Hart, A Baker, M Sahani, ...
arXiv preprint arXiv:1711.00695, 2017
32017
Data-driven sequential Monte Carlo in probabilistic programming
YN Perov, TA Le, F Wood
arXiv preprint arXiv:1512.04387, 2015
32015
Nonparametric Bayesian models for unsupervised activity recognition and tracking
N Dhir, Y Perov, F Wood
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
22016
Spreadsheet Probabilistic Programming
M Wu, Y Perov, F Wood, H Yang
arXiv preprint arXiv:1606.04216, 2016
22016
Applications of Probabilistic Programming (Master's thesis, 2015)
YN Perov
arXiv preprint arXiv:1606.00075, 2016
22016
Applications of probabilistic programming
Y Perov
Ph. D. Dissertation. University of Oxford, 2015
12015
Universal Marginalizer for Amortised Inference and Embedding of Generative Models
R Walecki, A Buchard, K Gourgoulias, C Hart, M Lomeli, AKW Navarro, ...
arXiv preprint arXiv:1811.04727, 2018
2018
Inference Over Programs That Make Predictions
Y Perov
arXiv preprint arXiv:1810.01190, 2018
2018
Computing engine, software, system and method
F Wood, M Wu, Y Perov, H Yang
US Patent App. 15/465,131, 2017
2017
Methods and devices for executing program code of a probabilistic programming language
F Wood, TB Paige, VK Mansinghka, JW Van De Meent, L Perov
US Patent App. 15/126,916, 2017
2017
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014)
YN Perov
arXiv preprint arXiv:1601.07224, 2016
2016
Exploiting Conditional Independence for Efficient, Automatic Multicore Inference for Church
Y Perov, V Mansinghka
NIPS 2012 Workshop on Probabilistic Programming, 2012
2012
CODING DIRICHLET PROCESS MODELS VIA PROBABILISTIC PROGRAMMING
F WOOD, Y PEROV
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Articles 1–20