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CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
A novel approach to bring two worlds - Imitation and Reinforcement Learning - together for Safe Planning.
Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Aleksandr Petiushko Александр Петюшко
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CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Elegant ways to check the so-called “Manifold Hypothesis” for FaceID using geoemtric (Ninkiwsky-based) and probabilistic approaches.
Alexander Ivanov, Gleb Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko Александр Петюшко
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Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Darker than Black-Box: Face Reconstruction from Similarity Queries
Reconstruction of a face embedding using only similarity score from FaceID system.
Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko Александр Петюшко
PDF Cite Code DOI arXiv
Darker than Black-Box: Face Reconstruction from Similarity Queries