Zobrazeno 1 - 10
of 8 927
pro vyhledávání: '"Enea A."'
Autor:
Compagnoni, Enea Monzio, Liu, Tianlin, Islamov, Rustem, Proske, Frank Norbert, Orvieto, Antonio, Lucchi, Aurelien
Despite the vast empirical evidence supporting the efficacy of adaptive optimization methods in deep learning, their theoretical understanding is far from complete. This work introduces novel SDEs for commonly used adaptive optimizers: SignSGD, RMSpr
Externí odkaz:
http://arxiv.org/abs/2411.15958
We assess the convergence of the Carleman linearization of advection-diffusion-reaction (ADR) equations with a logistic nonlinearity. It is shown that five Carleman iterates provide a satisfactory approximation of the original ADR across a broad rang
Externí odkaz:
http://arxiv.org/abs/2410.05876
Bugs in popular distributed protocol implementations have been the source of many downtimes in popular internet services. We describe a randomized testing approach for distributed protocol implementations based on reinforcement learning. Since the na
Externí odkaz:
http://arxiv.org/abs/2409.02137
Explainable Artificial Intelligence (XAI) is central to the debate on integrating Artificial Intelligence (AI) and Machine Learning (ML) algorithms into clinical practice. High-performing AI/ML models, such as ensemble learners and deep neural networ
Externí odkaz:
http://arxiv.org/abs/2407.18343
The development of domain-specific language models has significantly advanced natural language processing applications in various specialized fields, particularly in biomedicine. However, the focus has largely been on English-language models, leaving
Externí odkaz:
http://arxiv.org/abs/2407.06011
Primordial black holes (PBH) can form in the early Universe from peaks of the primordial curvature perturbations. The statistics of the peaks determines the abundance of PBHs, and is related to the amplitude of the primordial curvature spectrum. We s
Externí odkaz:
http://arxiv.org/abs/2407.05109
At low redshift, it is possible to combine spectroscopic information of galaxies with their luminosity or angular diameter distance to directly measure the projection of peculiar velocities (PV) along the line-of-sight. A PV survey probing a large fr
Externí odkaz:
http://arxiv.org/abs/2407.01486
We discuss the Carleman linearization approach to the quantum simulation of classical fluids based on Grad's generalized hydrodynamics and compare it to previous investigations based on lattice Boltzmann and Navier-Stokes formulations. We show that t
Externí odkaz:
http://arxiv.org/abs/2406.01118
In Part-I, we presented an optimal day-ahead scheduling scheme for dispatching active distribution networks accounting for the flexibility provided by electric vehicle charging stations (EVCSs) and other controllable resources such as battery energy
Externí odkaz:
http://arxiv.org/abs/2404.12870
Autor:
Gupta, Rahul K., Fahmy, Sherif, Chevron, Max, Vasapollo, Riccardo, Figini, Enea, Paolone, Mario
This paper proposes a grid-aware scheduling and control framework for Electric Vehicle Charging Stations (EVCSs) for dispatching the operation of an active power distribution network. The framework consists of two stages. In the first stage, we deter
Externí odkaz:
http://arxiv.org/abs/2404.12863