Yura N. Perov

11 papers A 2Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2016 J jnl
Applications of Probabilistic Programming (Master's thesis, 2015).
CoRR
Yura N. Perov
2016 — conf
Automatic Sampler Discovery via Probabilistic Programming and Approximate Bayesian Computation.
AGI
Yura N. Perov, Frank D. Wood
2016 J jnl
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014).
CoRR
Yura N. Perov
2016 A conf
Nonparametric Bayesian models for unsupervised activity recognition and tracking.
IROS
Neil Dhir, Yura N. Perov, Frank D. Wood
2016 J jnl
Spreadsheet Probabilistic Programming.
CoRR
Mike Wu, Yura N. Perov, Frank D. Wood, Hongseok Yang
2015 J jnl
Data-driven Sequential Monte Carlo in Probabilistic Programming.
CoRR
Yura N. Perov, Tuan Anh Le, Frank D. Wood
2014 J jnl
Learning Probabilistic Programs.
CoRR
Yura N. Perov, Frank D. Wood
2014 J jnl
Venture: a higher-order probabilistic programming platform with programmable inference.
CoRR
Vikash Mansinghka, Daniel Selsam, Yura N. Perov
2013 — conf
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs.
NIPS
Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum
2013 J jnl
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs.
CoRR
Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum
2013 A conf
Gait optimization for roombots modular robots - Matching simulation and reality.
IROS
Rico Moeckel, Yura N. Perov, Anh The Nguyen, Massimo Vespignani, Stéphane Bonardi, Soha Pouya, Alexander Sproewitz, Jesse van den Kieboom, Frédéric Wilhelm, Auke Jan Ijspeert