Yury Maximov

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Gaussian Process

Implicit Feedback

Recommender Systems

Top Venues

IEEE Control. Syst. Lett.

J. Artif. Intell. Res.

Publications

Joe Gorka, Tim Hsu, Wenting Li, Yury Maximov, Line Roald
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks. CoRR (2024)
Alexander Marusov, Vsevolod Grabar, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
Long-term drought prediction using deep neural networks based on geospatial weather data. Environ. Model. Softw. 179 (2024)
Valeriy Shevchenko, Aleksandr Lukashevich, Daria Taniushkina, Alexander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. IEEE Access 12 (2024)
Aleksandr Lukashevich, Aleksandr Bulkin, Yury Maximov
A-Priori Reduction of Scenario Approximation for Automated Generation Control in High-Voltage Power Grids With Renewable Energy. IEEE Control. Syst. Lett. 8 (2024)
Aleksander Lukashevich, Vyacheslav Gorchakov, Petr Vorobev, Deepjyoti Deka, Yury Maximov
Importance Sampling Approach to Chance-Constrained DC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. 11 (2) (2024)
Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir Terzija, Yury Maximov, Deepjyoti Deka
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR (2023)
Vsevolod Morozov, Artem Galliamov, Aleksandr Lukashevich, Antonina Kurdukova, Yury Maximov
CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics. CoRR (2023)
Vsevolod Grabar, Alexander Marusov, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
Long-term drought prediction using deep neural networks based on geospatial weather data. CoRR (2023)
Valeriy Shevchenko, Daria Taniushkina, Aleksandr Lukashevich, Aleksander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. CoRR (2023)
Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir Terzija, Yury Maximov, Deepjyoti Deka
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts 16 (2023)
Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov
Long-Term Hail Risk Assessment with Deep Neural Networks. IWANN (1) (2023)
Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir Terzija, Semen Budenny, Yury Maximov, Deepjyoti Deka
Data-Driven Stochastic AC-OPF using Gaussian Processes. CoRR (2022)
Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov
Self-Training: A Survey. CoRR (2022)
Aleksandra Burashnikova, Wenting Li, Massih Amini, Deepjyoti Deka, Yury Maximov
Ranking-Based Physics-Informed Line Failure Detection in Power Grids. CoRR (2022)
Anton Anikin, Alexander V. Gasnikov, Alexander Gornov, Dmitry Kamzolov, Yury Maximov, Yurii E. Nesterov
Efficient numerical methods to solve sparse linear equations with application to PageRank. Optim. Methods Softw. 37 (3) (2022)
Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir Terzija, Yury Maximov, Deepjyoti Deka
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. CoRR (2022)
Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov, Ilya Makarov
Long-term hail risk assessment with deep neural networks. CoRR (2022)
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR (2022)
Vsevolod Grabar, Yury Maximov, Alexey Zaytsev
Predicting spatial distribution of Palmer Drought Severity Index. CoRR (2022)
Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante
Recommender Systems: When Memory Matters. ECIR (2) (2022)
Aleksandr Lukashevich, Yury Maximov
Power Grid Reliability Estimation via Adaptive Importance Sampling. IEEE Control. Syst. Lett. 6 (2022)
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. 71 (2021)
Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
User preference and embedding learning with implicit feedback for recommender systems. Data Min. Knowl. Discov. 35 (2) (2021)
Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante
Recommender systems: when memory matters. CoRR (2021)
Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. CoRR (2020)
Valerii Likhosherstov, Yury Maximov, Misha Chertkov
Inference and Sampling of $K_33$-free Ising Models. ICML (2019)
Valerii Likhosherstov, Yury Maximov, Michael Chertkov
A New Family of Tractable Ising Models. CoRR (2019)
Aleksandra Burashnikova, Yury Maximov, Massih-Reza Amini
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. ECML/PKDD (3) (2019)
Nikolay Stulov, Dejan J. Sobajic, Yury Maximov, Deepjyoti Deka, Michael Chertkov
Learning a Generator Model from Terminal Bus Data. CoRR (2019)
Alexandra Burashnikova, Yury Maximov, Massih-Reza Amini
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. CoRR (2019)
Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takác
Entropy-Penalized Semidefinite Programming. IJCAI (2019)
Valerii Likhosherstov, Yury Maximov, Michael Chertkov
Tractable Minor-free Generalization of Planar Zero-field Ising Models. CoRR (2019)
Michael Chertkov, Yury Maximov
Gauges, Loops, and Polynomials for Partition Functions of Graphical Models. CoRR (2018)
Andrii Riazanov, Yury Maximov, Michael Chertkov
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow. ACC (2018)
Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). IJCAI (2018)
Valerii Likhosherstov, Yury Maximov, Michael Chertkov
-free Ising Models. CoRR (2018)
Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm. J. Artif. Intell. Res. 61 (2018)
Simon Moura, Amir Asarbaev, Massih-Reza Amini, Yury Maximov
Heterogeneous Dyadic Multi-task Learning with Implicit Feedback. ICONIP (3) (2018)
Roman Pogodin, Mikhail Krechetov, Yury Maximov
Efficient rank minimization to tighten semidefinite programming for unconstrained binary quadratic optimization. Allerton (2017)
Roman Pogodin, Mikhail Krechetov, Yury Maximov
Efficient Rank Minimization to Tighten Semidefinite Programming for Unconstrained Binary Quadratic Optimization. CoRR (2017)
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. CoRR (2017)
Art B. Owen, Yury Maximov, Michael Chertkov
Importance sampling the union of rare events with an application to power systems analysis. CoRR (2017)
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. NIPS (2017)
Mikhail Trofimov, Sumit Sidana, Oleh Horodnitskii, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems. CoRR (2017)
Andrii Riazanov, Yury Maximov, Michael Chertkov
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow. CoRR (2017)
Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm. CoRR (2016)
Yury Maximov, Daria Reshetova
Tight Risk Bounds for Multi-Class Margin Classifiers. CoRR (2015)