Yura N. Perov

According to our database, Yura N. Perov authored at least 19 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis.

Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Mobasher Butt, Arnold DoRosario, Saurabh Johri

Frontiers Artif. Intell., 2020

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models.

Yuanzhao Zhang, Robert Walecki, Joanne R. Winter, Felix J. S. Bragman, Sara Lourenco, Christopher Hart, Adam Baker, Yura Perov, Saurabh Johri

Frontiers Digit. Health, 2020

Learning medical triage from clinicians using Deep Q-Learning.

Albert Buchard, Baptiste Bouvier, Giulia Prando, Rory Beard, Michail Livieratos, Dan Busbridge, Daniel H. Thompson, Jonathan G. Richens, Yuanzhao Zhang, Adam Baker, Yura Perov, Kostis Gourgoulias, Saurabh Johri

CoRR, 2020

2019

Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs.

Robert Walecki, Kostis Gourgoulias, Adam Baker, Chris Hart, Chris Lucas, Max Zwiessele, Albert Buchard, Maria Lomeli, Yura Perov, Saurabh Johri

CoRR, 2019

MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming.

Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

Universal Marginalizer for Amortised Inference and Embedding of Generative Models.

Robert Walecki, Albert Buchard, Kostis Gourgoulias, Chris Hart, Maria Lomeli, Alexandre K. W. Navarro, Max Zwiessele, Yura Perov, Saurabh Johri

CoRR, 2018

Inference Over Programs That Make Predictions.

Yura Perov

CoRR, 2018

A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis.

Salman Razzaki, Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Michael Taliercio, Mobasher Butt, Azeem Majeed, Arnold DoRosario, Megan Mahoney, Saurabh Johri

CoRR, 2018

2017

A Universal Marginalizer for Amortized Inference in Generative Models.

Laura Douglas, Iliyan Zarov, Konstantinos Gourgoulias, Chris Lucas, Chris Hart, Adam Baker, Maneesh Sahani, Yura Perov, Saurabh Johri

CoRR, 2017

2016

Spreadsheet Probabilistic Programming.

Mike Wu, Yura N. Perov, Frank D. Wood, Hongseok Yang

CoRR, 2016

Applications of Probabilistic Programming (Master's thesis, 2015).

Yura N. Perov

CoRR, 2016

Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014).

Yura N. Perov

CoRR, 2016

Nonparametric Bayesian models for unsupervised activity recognition and tracking.

Neil Dhir, Yura N. Perov, Frank D. Wood

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Automatic Sampler Discovery via Probabilistic Programming and Approximate Bayesian Computation.

Yura N. Perov, Frank D. Wood

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015

Data-driven Sequential Monte Carlo in Probabilistic Programming.

Yura N. Perov, Tuan Anh Le, Frank D. Wood

CoRR, 2015

2014

Learning Probabilistic Programs.

Yura N. Perov, Frank D. Wood

CoRR, 2014

Venture: a higher-order probabilistic programming platform with programmable inference.

Vikash Mansinghka, Daniel Selsam, Yura N. Perov

CoRR, 2014

2013

Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs.

Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Gait optimization for roombots modular robots - Matching simulation and reality.

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

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013