Исследовательская группа

Прикладное машинное обучение и глубокое обучение

Публикации

Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation

December 2020

Nina Lukashina, Alisa Alenicheva, Elizaveta Vlasova, Artem Kondiukov, Aigul Khakimova, Emil Magerramov, Nikita Churikov, Aleksei Shpilman

Machine Learning for Molecules Workshop at NeurIPS'2020

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Automatic generation of reviews of scientific papers

December 2020

Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman

ICMLA2020

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Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously

July 2020

Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman

Workshop on AI for Autonomous Driving (AIAD), the 37th International Conference on Machine Learning (ICML2020)

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Artificial Intelligence for Prosthetics-challenge solutions

November 2019

Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaśkowski, 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 Watson, Marcel Salathé, Sergey Levine, Scott Delp

The NeurIPS '18 Competition

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MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning

October 2019

Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman

XVI International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY)

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End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box

October 2019

Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman

XVI International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY)

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Log-based Reading Speed Prediction: a Case Study on War and Peace

July 2019

Igor Tukh, Pavel Braslavski, and Kseniya Buraya

AIST

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Words and Topics: Content Representations for Book Recommendation

May 2019

Larissa Kolesnichenko, Pavel Braslavski

Dialog

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A comparative evaluation of machine learning methods for robot navigation through human crowds

December 2018

A. Gaydashenko, D. Kudenko, A. Shpilman

ICMLA

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Deep Multi-Agent Reinforcement Learning with Relevance Graphs

December 2018

Aleksandra Malysheva, Tegg Taekyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman

NeurIPS Deep Reinforcement Learning Workshop

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Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing

December 2018

Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman

Open Access Software

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Rainbow World Models

November 2018

V. Chockalingam, T. Sung, F. Behbahani, R. Gargeya, A. Sivanantham, A. Malysheva

AIIDE-18 Workshop: Learning to Play

Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data

November 2018

A. Malysheva, D. Kudenko, A. Shpilman

ICARCV

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Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation

November 2018

I. Sosin, D. Kudenko, A. Shpilman

ICARCV

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Cleaning up after a Party: Post-processing Thesaurus Crowdsourced Data

October 2018

Oksana Antropova, Elena Arslanova, Maxim Shaposhnikov, Pavel Braslavski, Mikhail Mukhin

AINL

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Stierlitz Meets SVM: Humor Detection in Russian

October 2018

Anton Ermilov, Natasha Murashkina, Valeria Goryacheva, Pavel Braslavski

AINL

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Personal Names Popularity Estimation and its Application to Record Linkage

September 2018

Ksenia Zhagorina, Pavel Braslavski, Vladimir Gusev

ADBIS

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Automatic Recommendation of Move Method Refactorings Using Clustering Ensembles

September 2018

Timofey Bryksin, Evgenii Novozhilov, and Aleksei Shpilman

2nd International Workshop on Refactoring (IWoR)

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Learning to Run with Reward Shaping from Video Data

July 2018

A. Malysheva, A. Shpilman, D. Kudenko

Workshop on Adaptive and Learning Agents (ALA) at ICML-AAMAS

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Building Detection from Satellite Imagery Using a Composite Loss Function

June 2018

S. Golovanov, R. Kurbanov, A. Artamonov, A. Davydow, S. Nikolenko

CVPR Workshop

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Automated refactoring of object-oriented code using clustering ensembles

February 2018

T. Bryskin, A. Shpilman, D. Kudenko

AAAI Workshop on Natural Language Processing for Software Engineering

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Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks

December 2017

A. Shpilman, D. Boikiy, M. Plyakova, D. Kudenko, A. Burakov, E. Nadezhdina

ICMLA

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