Yura N. Perov

Publication Activity (10 Years)

Years Active: 2013-2016
Publications (10 Years): 5

Top Topics

Sequential Monte Carlo

Image Interpretation

Nonparametric Bayesian Models

Top Venues

Publications

Yura N. Perov
Applications of Probabilistic Programming (Master's thesis, 2015). CoRR (2016)
Neil Dhir, Yura N. Perov, Frank D. Wood
Nonparametric Bayesian models for unsupervised activity recognition and tracking. IROS (2016)
Yura N. Perov, Frank D. Wood
Automatic Sampler Discovery via Probabilistic Programming and Approximate Bayesian Computation. AGI (2016)
Mike Wu, Yura N. Perov, Frank D. Wood, Hongseok Yang
Spreadsheet Probabilistic Programming. CoRR (2016)
Yura N. Perov
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014). CoRR (2016)
Yura N. Perov, Tuan Anh Le, Frank D. Wood
Data-driven Sequential Monte Carlo in Probabilistic Programming. CoRR (2015)
Vikash K. Mansinghka, Daniel Selsam, Yura N. Perov
Venture: a higher-order probabilistic programming platform with programmable inference. CoRR (2014)
Yura N. Perov, Frank D. Wood
Learning Probabilistic Programs. CoRR (2014)
Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs. NIPS (2013)
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
Gait optimization for roombots modular robots - Matching simulation and reality. IROS (2013)
Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs. CoRR (2013)