Zobrazeno 1 - 10
of 982
pro vyhledávání: '"D'Inverno AS"'
Autor:
Varbella, Anna, Briens, Damien, Gjorgiev, Blazhe, D'Inverno, Giuseppe Alessio, Sansavini, Giovanni
The energy transition is driving the integration of large shares of intermittent power sources in the electric power grid. Therefore, addressing the AC optimal power flow (AC-OPF) effectively becomes increasingly essential. The AC-OPF, which is a fun
Externí odkaz:
http://arxiv.org/abs/2410.04818
Autor:
D'Inverno, Giuseppe Alessio, Moradizadeh, Saeid, Salavatidezfouli, Sajad, Africa, Pasquale Claudio, Rozza, Gianluigi
The complexity of the cardiovascular system needs to be accurately reproduced in order to promptly acknowledge health conditions; to this aim, advanced multifidelity and multiphysics numerical models are crucial. On one side, Full Order Models (FOMs)
Externí odkaz:
http://arxiv.org/abs/2410.03802
Any kind of network can be naturally represented by a Directed Acyclic Graph (DAG); additionally, activation functions can determine the reaction of each node of the network with respect to the signal(s) incoming. We study the characterization of the
Externí odkaz:
http://arxiv.org/abs/2402.06768
Autor:
Osman, Nardine, d'Inverno, Mark
One of today's most significant societal challenges is building AI systems whose behaviour, or the behaviour it enables within communities of interacting agents (human and artificial), aligns with human values. To address this challenge, we detail a
Externí odkaz:
http://arxiv.org/abs/2402.06359
Reservoir Computing (RC) has become popular in recent years thanks to its fast and efficient computational capabilities. Standard RC has been shown to be equivalent in the asymptotic limit to Recurrent Kernels, which helps in analyzing its expressive
Externí odkaz:
http://arxiv.org/abs/2401.14557
Graph Neural Networks (GNNs) have emerged in recent years as a powerful tool to learn tasks across a wide range of graph domains in a data-driven fashion; based on a message passing mechanism, GNNs have gained increasing popularity due to their intui
Externí odkaz:
http://arxiv.org/abs/2401.12362
Autor:
Bucarelli, Maria Sofia, D'Inverno, Giuseppe Alessio, Bianchini, Monica, Scarselli, Franco, Silvestri, Fabrizio
In the context of deep learning models, attention has recently been paid to studying the surface of the loss function in order to better understand training with methods based on gradient descent. This search for an appropriate description, both anal
Externí odkaz:
http://arxiv.org/abs/2401.03824
Graph Neural Networks (GNNs) have emerged as a powerful tool for data-driven learning on various graph domains. They are usually based on a message-passing mechanism and have gained increasing popularity for their intuitive formulation, which is clos
Externí odkaz:
http://arxiv.org/abs/2307.00134
This article describes and evaluates a new online AI-creativity course. The course is based around three near-state-of-the-art AI models combined into a pop song generating system. A fine-tuned GPT-2 model writes lyrics, Music-VAE composes musical sc
Externí odkaz:
http://arxiv.org/abs/2306.10069
Autor:
Osman, Nardine, d'Inverno, Mark
In the diverse array of work investigating the nature of human values from psychology, philosophy and social sciences, there is a clear consensus that values guide behaviour. More recently, a recognition that values provide a means to engineer ethica
Externí odkaz:
http://arxiv.org/abs/2305.02748