Yury Maximov - RankMe

58 papers A* 7C 1Journal 42Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	B3Emo: Quantifying Affect as a Double-Edged Sword in Strategic LLM Interactions. IEEE Access Aleksei Stepin, Mikhail Mozikov, Artyom Kabanov, Vladimir Kubasov, Rustam Akimov, Ivan Nasonov, Nikita Glazkov, Roman Sultimov, Ivan Makovetskiy, Nikita Severin, Yury Maximov, Andrey V. Savchenko, Ilya Makarov
2026	J	`jnl`	Bridging Global Climate Solutions and Local Realities: Evaluating Neural Networks for High-Resolution Downscaling. IEEE Access Daria Taniushkina, Aleksander Lukashevich, Valeriy Shevchenko, Daniil Sukhorukov, Yulia Melkozerova, Vladislav Pedashenko, Vsevolod Morozov, Roman Sultimov, Ilya Makarov, Aleksandr Volkov, Yury Maximov
2026	A*	`conf`	Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract). AAAI Egor Suraveikin, Dastan Omirzak, Roman Sultimov, Yury Maximov
2026	A*	`conf`	RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract). AAAI Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Aleksandr Volkov, Ilya Makarov, Andrei Osiptsov, Yury Maximov
2026	A*	`conf`	RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents. AAAI Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Ilya Makarov, Andrei Osiptsov, Aleksandr Volkov, Yury Maximov
2026	—	`conf`	Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story. EACL (Volume 1: Long Papers) Vladislav Pedashenko, Laida Kushnareva, Yana Khassan Nibal, Eduard Tulchinskii, Kristian Kuznetsov, Vladislav Zharchinskii, Yury Maximov, Irina Piontkovskaya
2025	J	`jnl`	A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment. IEEE Access Polina Pilyugina, Timofey Chernikov, Maria Smirnova, Alexey Zaytsev, Alexander Bulkin, Evgeny Burnaev, Ilya S. Belalov, Nazar Sotiriadi, Albert Efimov, Yury Maximov, Oleg Anisimov
2025	A*	`conf`	HL-EAI: A Multimodal Framework Enabling Emotional Reciprocity in Human-AI Strategic Decision-Making. ACM Multimedia Mikhail Mozikov, Daniil Orekhov, Ivan Nasonov, Konstantin Baltsat, Vladislav Pedashenko, Dmitrii Abramov, Nikita Severin, Yury Maximov, Andrey V. Savchenko, Ilya Makarov
2025	J	`jnl`	Self-training: A survey. Neurocomputing Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov
2025	J	`jnl`	Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story. CoRR Vladislav Pedashenko, Laida Kushnareva, Yana Khassan Nibal, Eduard Tulchinskii, Kristian Kuznetsov, Vladislav Zharchinskii, Yury Maximov, Irina Piontkovskaya
2024	J	`jnl`	A-Priori Reduction of Scenario Approximation for Automated Generation Control in High-Voltage Power Grids With Renewable Energy. IEEE Control. Syst. Lett. Aleksandr Lukashevich, Aleksandr Bulkin, Yury Maximov
2024	J	`jnl`	Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks. CoRR Joe Gorka, Tim Hsu, Wenting Li, Yury Maximov, Line Roald
2024	J	`jnl`	Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. IEEE Access Valeriy Shevchenko, Aleksandr Lukashevich, Daria Taniushkina, Alexander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov
2024	—	`conf`	From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT. SIGSPATIAL/GIS Danil Kononykhin, Mikhail Mozikov, Kirill Mishtal, Pavel Kuznetsov, Dmitrii Abramov, Nazar Sotiriadi, Yury Maximov, Andrey V. Savchenko, Ilya Makarov
2024	J	`jnl`	Importance Sampling Approach to Chance-Constrained DC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. Aleksander Lukashevich, Vyacheslav Gorchakov, Petr Vorobev, Deepjyoti Deka, Yury Maximov
2024	J	`jnl`	Long-term drought prediction using deep neural networks based on geospatial weather data. Environ. Model. Softw. Alexander Marusov, Vsevolod Grabar, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
2023	J	`jnl`	CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics. CoRR Vsevolod Morozov, Artem Galliamov, Aleksandr Lukashevich, Antonina Kurdukova, Yury Maximov
2023	J	`jnl`	Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. CoRR Valeriy Shevchenko, Daria Taniushkina, Aleksandr Lukashevich, Aleksander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov
2023	J	`jnl`	GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2023	J	`jnl`	GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2023	—	`conf`	Long-Term Hail Risk Assessment with Deep Neural Networks. IWANN (1) Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov
2023	J	`jnl`	Long-term drought prediction using deep neural networks based on geospatial weather data. CoRR Vsevolod Grabar, Alexander Marusov, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
2022	J	`jnl`	Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. CoRR Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2022	J	`jnl`	Data-Driven Stochastic AC-OPF using Gaussian Processes. CoRR Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen A. Budennyy, Yury Maximov, Deepjyoti Deka
2022	J	`jnl`	Efficient numerical methods to solve sparse linear equations with application to PageRank. Optim. Methods Softw. Anton Anikin, Alexander V. Gasnikov, Alexander Gornov, Dmitry Kamzolov, Yury Maximov, Yurii E. Nesterov
2022	J	`jnl`	Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2022	J	`jnl`	Long-term hail risk assessment with deep neural networks. CoRR Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov, Ilya Makarov
2022	J	`jnl`	Power Grid Reliability Estimation via Adaptive Importance Sampling. IEEE Control. Syst. Lett. Aleksandr Lukashevich, Yury Maximov
2022	J	`jnl`	Predicting spatial distribution of Palmer Drought Severity Index. CoRR Vsevolod Grabar, Yury Maximov, Alexey Zaytsev
2022	J	`jnl`	Ranking-Based Physics-Informed Line Failure Detection in Power Grids. CoRR Aleksandra Burashnikova, Wenting Li, Massih Amini, Deepjyoti Deka, Yury Maximov
2022	—	`conf`	Recommender Systems: When Memory Matters. ECIR (2) Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante
2022	J	`jnl`	Self-Training: A Survey. CoRR Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov
2021	J	`jnl`	Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2021	J	`jnl`	Recommender systems: when memory matters. CoRR Aleksandra Burashnikova, Marianne Clausel, Massih-Reza Amini, Yury Maximov, Nicolas Dante
2021	J	`jnl`	User preference and embedding learning with implicit feedback for recommender systems. Data Min. Knowl. Discov. Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
2020	J	`jnl`	Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. CoRR Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini
2019	J	`jnl`	A New Family of Tractable Ising Models. CoRR Valerii Likhosherstov, Yury Maximov, Michael Chertkov
2019	A*	`conf`	Entropy-Penalized Semidefinite Programming. IJCAI Mikhail Krechetov, Jakub Marecek, Yury Maximov, Martin Takác
2019	A*	`conf`	Inference and Sampling of $K_33$-free Ising Models. ICML Valerii Likhosherstov, Yury Maximov, Misha Chertkov
2019	J	`jnl`	Learning a Generator Model from Terminal Bus Data. CoRR Nikolay Stulov, Dejan J. Sobajic, Yury Maximov, Deepjyoti Deka, Michael Chertkov
2019	—	`conf`	Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. ECML/PKDD (3) Aleksandra Burashnikova, Yury Maximov, Massih-Reza Amini
2019	J	`jnl`	Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems. CoRR Alexandra Burashnikova, Yury Maximov, Massih-Reza Amini
2019	J	`jnl`	Tractable Minor-free Generalization of Planar Zero-field Ising Models. CoRR Valerii Likhosherstov, Yury Maximov, Michael Chertkov
2018	C	`conf`	Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow. ACC Andrii Riazanov, Yury Maximov, Michael Chertkov
2018	J	`jnl`	Gauges, Loops, and Polynomials for Partition Functions of Graphical Models. CoRR Michael Chertkov, Yury Maximov
2018	—	`conf`	Heterogeneous Dyadic Multi-task Learning with Implicit Feedback. ICONIP (3) Simon Moura, Amir Asarbaev, Massih-Reza Amini, Yury Maximov
2018	J	`jnl`	Inference and Sampling of K CoRR Valerii Likhosherstov, Yury Maximov, Michael Chertkov
2018	A*	`conf`	Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). IJCAI Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
2018	J	`jnl`	Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm. J. Artif. Intell. Res. Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
2017	—	`conf`	Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. NIPS Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
2017	J	`jnl`	Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. CoRR Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
2017	J	`jnl`	Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow. CoRR Andrii Riazanov, Yury Maximov, Michael Chertkov
2017	J	`jnl`	Efficient Rank Minimization to Tighten Semidefinite Programming for Unconstrained Binary Quadratic Optimization. CoRR Roman Pogodin, Mikhail Krechetov, Yury Maximov
2017	—	`conf`	Efficient rank minimization to tighten semidefinite programming for unconstrained binary quadratic optimization. Allerton Roman Pogodin, Mikhail Krechetov, Yury Maximov
2017	J	`jnl`	Importance sampling the union of rare events with an application to power systems analysis. CoRR Art B. Owen, Yury Maximov, Michael Chertkov
2017	J	`jnl`	Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems. CoRR Mikhail Trofimov, Sumit Sidana, Oleh Horodnitskii, Charlotte Laclau, Yury Maximov, Massih-Reza Amini
2016	J	`jnl`	Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm. CoRR Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui
2015	J	`jnl`	Tight Risk Bounds for Multi-Class Margin Classifiers. CoRR Yury Maximov, Daria Reshetova