Can we learn gradients by Hamiltonian Neural Networks? - Aleksandr Timofeev; Andrei Afonin; Yehao Liu (CoRR, 2021)

Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems? - Andrei Afonin; Michael Chertkov (Frontiers Big Data, 2021)

Towards Model Agnostic Federated Learning Using Knowledge Distillation. - Andrei Afonin; Sai Praneeth Karimireddy (ICLR, 2022)

Sampling and Ranking for Digital Ink Generation on a Tight Computational Budget. - Andrei Afonin; Andrii Maksai; Aleksandr Timofeev; Claudiu Musat (ICDAR (4), 2023)

DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split Generation. - Aleksandr Timofeev; Anastasiia Fadeeva; Andrei Afonin; Claudiu Musat; Andrii Maksai (ICDAR (4), 2023)