An Accelerated Second-Order Method for Distributed Stochastic Optimization. - Artem Agafonov; Pavel E. Dvurechensky; Gesualdo Scutari; Alexander V. Gasnikov; Dmitry Kamzolov; Aleksandr Lukashevich; Amir Daneshmand (CDC, 2021)

Data-Driven Stochastic AC-OPF using Gaussian Processes. - Mile Mitrovic; Aleksandr Lukashevich; Petr Vorobev; Vladimir V. Terzija; Semen Budenny; Yury Maximov; Deepjyoti Deka (CoRR, 2022)

Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. - Mile Mitrovic; Aleksandr Lukashevich; Petr Vorobev; Vladimir V. Terzija; Yury Maximov; Deepjyoti Deka (CoRR, 2022)

Power Grid Reliability Estimation via Adaptive Importance Sampling. - Aleksandr Lukashevich; Yury Maximov (IEEE Control. Syst. Lett., 2022)

Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. - Pavel E. Dvurechensky; Dmitry Kamzolov; Aleksandr Lukashevich; Soomin Lee; Erik Ordentlich; César A. Uribe; Alexander V. Gasnikov (EURO J. Comput. Optim., 2022)

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. - Mile Mitrovic; Ognjen Kundacina; Aleksandr Lukashevich; Petr Vorobev; Vladimir V. Terzija; Yury Maximov; Deepjyoti Deka (CoRR, 2023)

Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. - Valeriy Shevchenko; Daria Taniushkina; Aleksandr Lukashevich; Aleksander Bulkin; Roland Grinis; Kirill Kovalev; Veronika Narozhnaia; Nazar Sotiriadi; Alexander Krenke; Yury Maximov (CoRR, 2023)

CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics. - Vsevolod Morozov; Artem Galliamov; Aleksandr Lukashevich; Antonina Kurdukova; Yury Maximov (CoRR, 2023)

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. - Mile Mitrovic; Ognjen Kundacina; Aleksandr Lukashevich; Semen A. Budennyy; Petr Vorobev; Vladimir V. Terzija; Yury Maximov; Deepjyoti Deka (Softw. Impacts, 2023)

Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. - Valeriy Shevchenko; Aleksandr Lukashevich; Daria Taniushkina; Alexander Bulkin; Roland Grinis; Kirill Kovalev; Veronika Narozhnaia; Nazar Sotiriadi; Alexander Krenke; Yury Maximov (IEEE Access, 2024)

A-Priori Reduction of Scenario Approximation for Automated Generation Control in High-Voltage Power Grids With Renewable Energy. - Aleksandr Lukashevich; Aleksandr Bulkin; Yury Maximov (IEEE Control. Syst. Lett., 2024)