Zobrazeno 1 - 10
of 21 946
pro vyhledávání: '"GIULIANO, P."'
Recently, AI systems have made remarkable progress in various tasks. Deep Reinforcement Learning(DRL) is an effective tool for agents to learn policies in low-level state spaces to solve highly complex tasks. Researchers have introduced Intrinsic Mot
Externí odkaz:
http://arxiv.org/abs/2409.11756
Autor:
Porciúncula, Giuliano G., Júnior, Marcone I. Sena, Pereira, Luiz Felipe C., Vilela, André L. M.
Online platforms for social interactions are an essential part of modern society. With the advance of technology and the rise of algorithms and AI, content is now filtered systematically and facilitates the formation of filter bubbles. This work inve
Externí odkaz:
http://arxiv.org/abs/2409.10830
Autor:
Prodan, George P., Pasquato, Mario, Iorio, Giuliano, Ballone, Alessandro, Torniamenti, Stefano, Di Carlo, Ugo Niccolò, Mapelli, Michela
Context. Computational astronomy has reached the stage where running a gravitational N-body simulation of a stellar system, such as a Milky Way star cluster, is computationally feasible, but a major limiting factor that remains is the ability to set
Externí odkaz:
http://arxiv.org/abs/2409.10627
To capture the dynamics of macroscopic non-relativistic fluids consisting of very many atoms, it is typically sufficient to truncate the gradient expansion at order zero, leading to ideal fluid dynamics, or at order one, leading to the Navier-Stokes
Externí odkaz:
http://arxiv.org/abs/2408.06104
Autor:
Sadoune, Nicolas, Pogorelov, Ivan, Edmunds, Claire L., Giudici, Giuliano, Giudice, Giacomo, Marciniak, Christian D., Ringbauer, Martin, Monz, Thomas, Pollet, Lode
Classical machine learning has proven remarkably useful in post-processing quantum data, yet typical learning algorithms often require prior training to be effective. In this work, we employ a tensorial kernel support vector machine (TK-SVM) to analy
Externí odkaz:
http://arxiv.org/abs/2408.05017
This work utilizes the Immersed Boundary Conformal Method (IBCM) to analyze Kirchhoff-Love and Reissner-Mindlin shell structures within an immersed domain framework. Immersed boundary methods involve embedding complex geometries within a background g
Externí odkaz:
http://arxiv.org/abs/2408.02530
Large autoregressive generative models have emerged as the cornerstone for achieving the highest performance across several Natural Language Processing tasks. However, the urge to attain superior results has, at times, led to the premature replacemen
Externí odkaz:
http://arxiv.org/abs/2407.21489
Large Language Models (LLMs) show promising potential in Software Engineering, especially for code-related tasks like code completion and code generation. LLMs' evaluation is generally centred around general metrics computed over benchmarks. While pa
Externí odkaz:
http://arxiv.org/abs/2407.21227
The proliferation of human-AI ecosystems involving human interaction with algorithms, such as assistants and recommenders, raises concerns about large-scale social behaviour. Despite evidence of such phenomena across several contexts, the collective
Externí odkaz:
http://arxiv.org/abs/2407.20004
Autor:
Alqahtani, Mubarak, Bhalerao, Rajeev S., Giacalone, Giuliano, Kirchner, Andreas, Ollitrault, Jean-Yves
Peculiar phenomena have been observed in analyses of anisotropic flow ($v_n$) fluctuations in ultracentral nucleus-nucleus collisions: The fourth-order cumulant of the elliptic flow ($v_2$) distribution changes sign. In addition, the ATLAS collaborat
Externí odkaz:
http://arxiv.org/abs/2407.17308