Zobrazeno 1 - 10
of 4 073
pro vyhledávání: '"Casati, P."'
Explainability and transparency of AI systems are undeniably important, leading to several research studies and tools addressing them. Existing works fall short of accounting for the diverse stakeholders of the AI supply chain who may differ in their
Externí odkaz:
http://arxiv.org/abs/2405.16311
With the widespread proliferation of AI systems, trust in AI is an important and timely topic to navigate. Researchers so far have largely employed a myopic view of this relationship. In particular, a limited number of relevant trustors (e.g., end-us
Externí odkaz:
http://arxiv.org/abs/2405.16310
Autor:
Barucci, Andrea, Ciacci, Giulia, Liò, Pietro, Azevedo, Tiago, Di Cencio, Andrea, Merella, Marco, Bianucci, Giovanni, Bosio, Giulia, Casati, Simone, Collareta, Alberto
All fields of knowledge are being impacted by Artificial Intelligence. In particular, the Deep Learning paradigm enables the development of data analysis tools that support subject matter experts in a variety of sectors, from physics up to the recogn
Externí odkaz:
http://arxiv.org/abs/2405.04189
Autor:
Philippe, J., Elson, F., Casati, M. P. N., Sanz, S., Metzelaars, M., Shliakhtun, O., Forslund, O. K., Lass, J., Shiroka, T., Linden, A., Mazzone, D. G., Ollivier, J., Shin, S., Medarde, M., Lake, B., Mansson, M., Bartkowiak, M., Normand, B., Kögerler, P., Sassa, Y., Janoschek, M., Simutis, G.
Low-dimensional quantum magnets are a versatile materials platform for studying the emergent many-body physics and collective excitations that can arise even in systems with only short-range interactions. Understanding their low-temperature structure
Externí odkaz:
http://arxiv.org/abs/2404.08274
Autor:
Porée, Victor, Gawryluk, Dariusz J., Shang, Tian, Rodríguez-Velamazań, J. Alberto, Casati, Nicola, Sheptyakov, Denis, Torrelles, Xavier, Medarde, Marisa
Layered perovskites of general formula AA'CuFeO$_5$ are one of the few examples of cycloidal spiral magnets where the ordering temperatures $T_{spiral}$ can be tuned far beyond room temperature by introducing modest amounts of Cu/Fe chemical disorder
Externí odkaz:
http://arxiv.org/abs/2402.04816
Autor:
Hu, Xin, Casati, Matteo
In this paper we investigate multidimensional first-order quasi-linear systems and find necessary conditions for them to admit Hamiltonian formulation. The insufficiency of the conditions is related to the Poisson cohomology of the admissible Hamilto
Externí odkaz:
http://arxiv.org/abs/2401.10445
Publikováno v:
Phys. Rev. E 109, L062104 (2024)
We prove analytically the ballistic thermal rectification effect (BTRE) in the Corbino disk characterized by an annular shape. We derive the thermal rectification efficiency (RE) and show that it can be expressed as the product of two independent fun
Externí odkaz:
http://arxiv.org/abs/2312.13610
Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans' reliability and the scalability of machine learning to tackle this issue effectively.
Externí odkaz:
http://arxiv.org/abs/2307.11806
Autor:
Beheshti, Amin, Yang, Jian, Sheng, Quan Z., Benatallah, Boualem, Casati, Fabio, Dustdar, Schahram, Nezhad, Hamid Reza Motahari, Zhang, Xuyun, Xue, Shan
Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model capable of generating human-like text through natural language processing (NLP). GPT is trained on massive amounts of text data and uses deep learning techniques to
Externí odkaz:
http://arxiv.org/abs/2306.01771
Autor:
Casati, Matteo, Zhang, Danda
Publikováno v:
2023 J. Phys. A: Math. Theor. 56 505701
In a recent series of papers by Lou et al., it was conjectured that higher dimensional integrable equations may be constructed by utilizing some conservation laws of (1 + 1)-dimensional systems. We prove that the deformation algorithm introduced in a
Externí odkaz:
http://arxiv.org/abs/2305.08449