Aleksei Shpilman

40 papers A 1B 1C 5Misc 2Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems. CoRR Stepan Kulibaba, Artem Dzhalilov, Roman Pakhomov, Oleg Svidchenko, Alexander V. Gasnikov, Aleksei Shpilman
2023	B	`conf`	A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization. CEC Anastasiia Filatova, Mikhail V. Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna V. Kaluzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis A. Nasonov
2022	J	`jnl`	Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. CoRR Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy
2022	J	`jnl`	Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. Remote. Sens. Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy
2022	J	`jnl`	Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data. CoRR Farid Bagirov, Dmitry Ivanov, Aleksei Shpilman
2022	J	`jnl`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
2022	J	`jnl`	Scalable Multi-Agent Model-Based Reinforcement Learning. CoRR Vladimir Egorov, Aleksei Shpilman
2022	J	`jnl`	Self-Imitation Learning from Demonstrations. CoRR Georgiy Pshikhachev, Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
2022	J	`jnl`	SimVec: predicting polypharmacy side effects for new drugs. J. Cheminformatics Nina Lukashina, Elena Kartysheva, Ola Spjuth, Elizaveta Virko, Aleksei Shpilman
2022	J	`jnl`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021	A	`conf`	Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. AAMAS Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
2021	J	`jnl`	Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. CoRR Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
2021	J	`jnl`	Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. 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 P. Mohanty
2021	J	`jnl`	Maximum Entropy Model-based Reinforcement Learning. CoRR Oleg Svidchenko, Aleksei Shpilman
2021	—	`conf`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
2021	J	`jnl`	Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction. CoRR Natalia Zenkova, Ekaterina Sedykh, Tatiana Shugaeva, Vladislav Strashko, Timofei Ermak, Aleksei Shpilman
2021	J	`jnl`	Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation. CoRR Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman
2021	—	`conf`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2020	J	`jnl`	A comparative evaluation of machine learning methods for robot navigation through human crowds. CoRR Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman
2020	C	`conf`	Automatic generation of reviews of scientific papers. ICMLA Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman
2020	J	`jnl`	Automatic generation of reviews of scientific papers. CoRR Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman
2020	J	`jnl`	Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation. CoRR Ivan Sosin, Daniel Kudenko, Aleksei Shpilman
2020	J	`jnl`	Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks. CoRR Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina
2020	J	`jnl`	End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. CoRR Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman
2020	—	`conf`	Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. 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 P. Mohanty
2020	J	`jnl`	Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously. CoRR Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman
2020	J	`jnl`	Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. CoRR Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
2020	J	`jnl`	Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation. CoRR Nina Lukashina, Alisa Alenicheva, Elizaveta Vlasova, Artem Kondiukov, Aigul Khakimova, Emil Magerramov, Nikita Churikov, Aleksei Shpilman
2020	J	`jnl`	MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. CoRR Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
2020	—	`conf`	Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization. NeurIPS (Competition and Demos) Mikita Sazanovich, Anastasiya Nikolskaya, Yury Belousov, Aleksei Shpilman
2020	J	`jnl`	Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization. CoRR Mikita Sazanovich, Anastasiya Nikolskaya, Yury Belousov, Aleksei Shpilman
2019	J	`jnl`	Artificial Intelligence for Prosthetics - challenge solutions. CoRR Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp
2019	Misc	`conf`	End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. REDUNDANCY Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman
2019	Misc	`conf`	MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. REDUNDANCY Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
2018	C	`conf`	A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds. ICMLA Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman
2018	—	`conf`	Automatic recommendation of move method refactorings using clustering ensembles. IWoR@ASE Timofey Bryksin, Evgenii Novozhilov, Aleksei Shpilman
2018	C	`conf`	Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation. ICARCV Ivan Sosin, Daniel Kudenko, Aleksei Shpilman
2018	J	`jnl`	Deep Multi-Agent Reinforcement Learning with Relevance Graphs. CoRR Aleksandra Malysheva, Tegg Tae Kyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman
2018	C	`conf`	Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. ICARCV Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
2017	C	`conf`	Deep Learning of Cell Classification Using Microscope Images of Intracellular Microtubule Networks. ICMLA Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina