Zobrazeno 1 - 10
of 116 576
pro vyhledávání: '"Nieto, OR"'
Autor:
Martí-Devesa, G., Olivera-Nieto, L.
Microquasars are compact binary systems hosting collimated relativistic jets. They have long been proposed as cosmic-ray accelerators, probed via the gamma-ray emission produced by relativistic particles. However, the observational evidence is steadi
Externí odkaz:
http://arxiv.org/abs/2410.10396
This paper considers the problem of designing motion planning algorithms for control-affine systems that generate collision-free paths from an initial to a final destination and can be executed using safe and dynamically-feasible controllers. We intr
Externí odkaz:
http://arxiv.org/abs/2410.08364
Autor:
Chi, Yi-Heng, Huang, Jiahui, Zhou, Ping, Feng, Hua, Li, Xiang-Dong, Markoff, Sera B., Safi-Harb, Samar, Olivera-Nieto, Laura
How black holes are formed remains an open and fundamental question in Astrophysics. Despite theoretical predictions, it lacks observations to understand whether the black hole formation experiences a supernova explosion. Here we report the discovery
Externí odkaz:
http://arxiv.org/abs/2410.06510
Autor:
Valdrighi, Giovani, Ribeiro, Athyrson M., Pereira, Jansen S. B., Guardieiro, Vitoria, Hendricks, Arthur, Filho, Décio Miranda, Garcia, Juan David Nieto, Bocca, Felipe F., Veronese, Thalita B., Wanner, Lucas, Raimundo, Marcos Medeiros
The widespread use of machine learning in credit scoring has brought significant advancements in risk assessment and decision-making. However, it has also raised concerns about potential biases, discrimination, and lack of transparency in these autom
Externí odkaz:
http://arxiv.org/abs/2409.20536
Audio-text contrastive models have become a powerful approach in music representation learning. Despite their empirical success, however, little is known about the influence of key design choices on the quality of music-text representations learnt th
Externí odkaz:
http://arxiv.org/abs/2409.11498
Autor:
Ghosh, Sreyan, Kumar, Sonal, Evuru, Chandra Kiran Reddy, Nieto, Oriol, Duraiswami, Ramani, Manocha, Dinesh
Open-vocabulary audio-language models, like CLAP, offer a promising approach for zero-shot audio classification (ZSAC) by enabling classification with any arbitrary set of categories specified with natural language prompts. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2409.09213
A spring in parallel with an effort source (e.g., electric motor or human muscle) can reduce its energy consumption and effort (i.e., torque or force) depending on the spring stiffness, spring preload, and actuation task. However, selecting the sprin
Externí odkaz:
http://arxiv.org/abs/2409.08889
In this paper, we develop a data-driven approach to generate incomplete LU factorizations of large-scale sparse matrices. The learned approximate factorization is utilized as a preconditioner for the corresponding linear equation system in the GMRES
Externí odkaz:
http://arxiv.org/abs/2409.08262
Autor:
Simavilla, David Nieto, Bonfanti, Andrea, de Beristain, Imanol García, Español, Pep, Ellero, Marco
We present a versatile framework that employs Physics-Informed Neural Networks (PINNs) to discover the entropic contribution that leads to the constitutive equation for the extra-stress in rheological models of polymer solutions. In this framework th
Externí odkaz:
http://arxiv.org/abs/2409.07545
Autor:
Pugliese, V., Hernández, E. Nieto, Corte, E., Govoni, M., Tchernij, S. Ditalia, Olivero, P., Forneris, J.
Split-vacancy color centers in diamond are promising solid state platforms for the implementation of photonic quantum technologies. These luminescent defects are commonly fabricated upon low energy ion implantation and subsequent thermal annealing. T
Externí odkaz:
http://arxiv.org/abs/2409.06359