Learning model of generator from terminal data

Large-Scale Sequential Learning for Recommender and Engineering Systems

“…Also the modified model demonstrates it is better robustness to the noise conditions and partial observability. A similar approach can be used for analysis of power generation reliability [Stulov et al, 2020, Mikhalev et al, 2020.…”

Mixing artificial and natural intelligence: from statistical mechanics to AI and back to turbulence

“…As suggested by Geshkovski et al (2023), the impressive efficacy of transformer models can be ascribed to their function as dynamical systems, particularly how they leverage the tendency of multi-particle systems to demonstrate clustering or exhibit chaotic dynamics. My keen interest lies in exploring whether the multi-particle (Lagrangian) interpretation of 2 Here are highlights of my contributions in Power System Informed AI, thus far predominantly via Deep Neural Networks (DNNs): (Deka et al 2017, Lokhov et al 2018b, Stulov et al 2020, Afonin and Chertkov 2021, Pagnier and Chertkov 2021a, 2021b, Pagnier et al 2022, Ferrando et al 2024. A review of these efforts is forthcoming in a separate article I intend to write.…”