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Neuromorphic Artificial Intelligence Systems


May 25, 2022
Dmitry Ivanov, Aleksandr Chezhegov, Andrey Grunin, Mikhail Kiselev, Denis Larionov


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Self-Imitation Learning from Demonstrations


Mar 21, 2022
Georgiy Pshikhachev, Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman


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Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data


Mar 14, 2022
Farid Bagirov, Dmitry Ivanov, Aleksei Shpilman


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Optimal-er Auctions through Attention


Feb 26, 2022
Dmitry Ivanov, Iskander Safiulin, Ksenia Balabaeva, Igor Filippov


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Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations


Jan 07, 2022
Dmitry Ivanov, Mikhail Kiselev, Denis Larionov


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Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World


Mar 30, 2021
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada Mohanty

* 28 pages, 8 figures 

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Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments


Feb 24, 2021
Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman

* Short version of this paper is accepted to AAMAS 2021 

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DEDPUL: Method for Positive-Unlabeled Learning based on Density Estimation


Mar 13, 2019
Dmitry Ivanov

* Implementation of DEDPUL and experimental data may be found at https://github.com/dimonenka/DEDPUL 

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DEDPUL: Method for Mixture Proportion Estimation and Positive-Unlabeled Classification based on Density Estimation


Feb 19, 2019
Dmitry Ivanov

* The paper contains 10 pages without references and appendix, 19 pages total, 7 figures, 6 tables, 2 algorithms. Implementation of DEDPUL and experimental data may be found at https://github.com/dimonenka/DEDPUL 

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