2 papers
cs.LG2026
Landing with the Score: Riemannian Optimization through Denoising
Andrey Kharitenko, Zebang Shen, Riccardo de Santi +2
Under the data manifold hypothesis, high-dimensional data are concentrated near a low-dimensional manifold. We study the problem of Riemannian optimization over such manifolds when…
eess.SY2025
Reactive power flow optimization in AC drive systems
Sanjay Chandrasekaran, Catalin Arghir, Pieder Joerg +2
This paper explores a limit avoidance approach in the case of input (modulation) and output (current) constraints with the aim of enhancing system availability of AC drives. Drawin…