Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Iacca, Giovanni"'
Hyperparameter optimization is a crucial problem in Evolutionary Computation. In fact, the values of the hyperparameters directly impact the trajectory taken by the optimization process, and their choice requires extensive reasoning by human operator
Externí odkaz:
http://arxiv.org/abs/2408.02451
Robustness and generalizability are the key properties of artificial neural network (ANN)-based controllers for maintaining a reliable performance in case of changes. It is demonstrated that exposing the ANNs to variations during training processes c
Externí odkaz:
http://arxiv.org/abs/2407.13965
Autor:
Zhou, Ryan, Bacardit, Jaume, Brownlee, Alexander, Cagnoni, Stefano, Fyvie, Martin, Iacca, Giovanni, McCall, John, van Stein, Niki, Walker, David, Hu, Ting
AI methods are finding an increasing number of applications, but their often black-box nature has raised concerns about accountability and trust. The field of explainable artificial intelligence (XAI) has emerged in response to the need for human und
Externí odkaz:
http://arxiv.org/abs/2406.07811
Vision-Language Models seamlessly discriminate among arbitrary semantic categories, yet they still suffer from poor generalization when presented with challenging examples. For this reason, Episodic Test-Time Adaptation (TTA) strategies have recently
Externí odkaz:
http://arxiv.org/abs/2405.18330
The Influence Maximization (IM) problem is a well-known NP-hard combinatorial problem over graphs whose goal is to find the set of nodes in a network that spreads influence at most. Among the various methods for solving the IM problem, evolutionary a
Externí odkaz:
http://arxiv.org/abs/2405.10187
Autor:
Farina, Matteo, Mancini, Massimiliano, Cunegatti, Elia, Liu, Gaowen, Iacca, Giovanni, Ricci, Elisa
While excellent in transfer learning, Vision-Language models (VLMs) come with high computational costs due to their large number of parameters. To address this issue, removing parameters via model pruning is a viable solution. However, existing techn
Externí odkaz:
http://arxiv.org/abs/2404.05621
The Influence Maximization (IM) problem seeks to discover the set of nodes in a graph that can spread the information propagation at most. This problem is known to be NP-hard, and it is usually studied by maximizing the influence (spread) and, option
Externí odkaz:
http://arxiv.org/abs/2403.18755
One of the most striking capabilities behind the learning mechanisms of the brain is the adaptation, through structural and functional plasticity, of its synapses. While synapses have the fundamental role of transmitting information across the brain,
Externí odkaz:
http://arxiv.org/abs/2403.12076
Autor:
Della Santina, Cosimo, Corbato, Carlos Hernandez, Sisman, Burak, Leiva, Luis A., Arapakis, Ioannis, Vakalellis, Michalis, Vanderdonckt, Jean, D'Haro, Luis Fernando, Manzi, Guido, Becchio, Cristina, Elamrani, Aïda, Alirezaei, Mohsen, Castellano, Ginevra, Dimarogonas, Dimos V., Ghosh, Arabinda, Haesaert, Sofie, Soudjani, Sadegh, Stroeve, Sybert, Verschure, Paul, Bacciu, Davide, Deroy, Ophelia, Bahrami, Bahador, Gallicchio, Claudio, Hauert, Sabine, Sanz, Ricardo, Lanillos, Pablo, Iacca, Giovanni, Sigg, Stephan, Gasulla, Manel, Steels, Luc, Sierra, Carles
Consciousness has been historically a heavily debated topic in engineering, science, and philosophy. On the contrary, awareness had less success in raising the interest of scholars in the past. However, things are changing as more and more researcher
Externí odkaz:
http://arxiv.org/abs/2402.09030
Reinforcement Learning (RL) bears the promise of being an enabling technology for many applications. However, since most of the literature in the field is currently focused on opaque models, the use of RL in high-stakes scenarios, where interpretabil
Externí odkaz:
http://arxiv.org/abs/2401.15480