output
20122026
most citedFully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks

152 citations

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cs.LG2025★ 10 cited

Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks

Julen Cestero, Carmine Delle Femine, Kenji S. Muro +2

Optimizing the energy management within a smart grids scenario presents significant challenges, primarily due to the complexity of real-world systems and the intricate interactions…

cs.LG2025

Building surrogate models using trajectories of agents trained by Reinforcement Learning

Julen Cestero, Marco Quartulli, Marcello Restelli

Sample efficiency in the face of computationally expensive simulations is a common concern in surrogate modeling. Current strategies to minimize the number of samples needed are no…