Zobrazeno 1 - 10
of 19 906
pro vyhledávání: '"Rivero, P."'
Autor:
Hill, Ryan M., Rivero, Gonzalo Reina, Tyler, Ashley J., Schofield, Holly, Doyle, Cody, Osborne, James, Bobela, David, Rier, Lukas, Gibson, Joseph, Tanner, Zoe, Boto, Elena, Bowtell, Richard, Brookes, Matthew J., Shah, Vishal, Holmes, Niall
Optically pumped magnetometers (OPMs) are compact and lightweight sensors that can measure magnetic fields generated by current flow in neuronal assemblies in the brain. Such sensors enable construction of magnetoencephalography (MEG) instrumentation
Externí odkaz:
http://arxiv.org/abs/2410.08718
Autor:
Wu, Hongtao, Yang, Yijun, Aviles-Rivero, Angelica I, Ren, Jingjing, Chen, Sixiang, Chen, Haoyu, Zhu, Lei
Snow degradations present formidable challenges to the advancement of computer vision tasks by the undesirable corruption in outdoor scenarios. While current deep learning-based desnowing approaches achieve success on synthetic benchmark datasets, th
Externí odkaz:
http://arxiv.org/abs/2410.07901
Autor:
Cheng, Chun-Wun, Huang, Jiahao, Zhang, Yi, Yang, Guang, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I
Partial differential equations (PDEs) are widely used to model complex physical systems, but solving them efficiently remains a significant challenge. Recently, Transformers have emerged as the preferred architecture for PDEs due to their ability to
Externí odkaz:
http://arxiv.org/abs/2410.02113
Autor:
Liu, B., Brodeur, M., Clark, J. A., Dedes, I., Dudek, J., Kondev, F. G., Ray, D., Savard, G., Valverde, A. A., Burdette, D. P., Houff, A. M., Orford, R., Porter, W. S., Rivero, F., Sharma, K. S., Varriano, L.
Precise mass measurements of the $^{108, 110, 112, 114, 116}$Rh ground and isomeric states were performed using the Canadian Penning Trap at Argonne National Laboratory, showing a good agreement with recent JYFLTRAP measurements. A new possible isome
Externí odkaz:
http://arxiv.org/abs/2410.00389
Autor:
Courteille, Philippe Wilhelm, Rivero, Dalila, de França, Gustavo Henrique, Junior, Claudio Alves Pessoa, Cipris, Ana, Portela, Mayerlin Núñez, Teixeira, Raul Celistrino, Slama, Sebastian
Strong collective interaction of atoms with an optical cavity causes normal mode splitting of the cavity's resonances, whose width is given by the collective coupling strength. At low optical density of the atomic cloud the intensity distribution of
Externí odkaz:
http://arxiv.org/abs/2409.06042
Imaging tasks are typically tackled using a structured optimization framework. This paper delves into a class of algorithms for difference-of-convex (DC) structured optimization, focusing on minimizing a DC function along with a possibly nonconvex fu
Externí odkaz:
http://arxiv.org/abs/2409.03262
Autor:
Yang, Liutao, Huang, Jiahao, Fang, Yingying, Aviles-Rivero, Angelica I, Schonlieb, Carola-Bibiane, Zhang, Daoqiang, Yang, Guang
Sparse-View Computed Tomography (SVCT) offers low-dose and fast imaging but suffers from severe artifacts. Optimizing the sampling strategy is an essential approach to improving the imaging quality of SVCT. However, current methods typically optimize
Externí odkaz:
http://arxiv.org/abs/2409.01544
Conditioning the logistic continuous-state branching process on non-extinction via its total progeny
The problem of conditioning a continuous-state branching process with quadratic competition (logistic CB process) on non-extinction is investigated. We first establish that non-extinction is equivalent to the total progeny of the population being inf
Externí odkaz:
http://arxiv.org/abs/2408.14993
Autor:
Träuble, Jakob, Hiscox, Lucy, Johnson, Curtis, Schönlieb, Carola-Bibiane, Schierle, Gabriele Kaminski, Aviles-Rivero, Angelica
In the field of neuroimaging, accurate brain age prediction is pivotal for uncovering the complexities of brain aging and pinpointing early indicators of neurodegenerative conditions. Recent advancements in self-supervised learning, particularly in c
Externí odkaz:
http://arxiv.org/abs/2408.00527
Autor:
Yoshioka, Nobuyuki, Amico, Mirko, Kirby, William, Jurcevic, Petar, Dutt, Arkopal, Fuller, Bryce, Garion, Shelly, Haas, Holger, Hamamura, Ikko, Ivrii, Alexander, Majumdar, Ritajit, Minev, Zlatko, Motta, Mario, Pokharel, Bibek, Rivero, Pedro, Sharma, Kunal, Wood, Christopher J., Javadi-Abhari, Ali, Mezzacapo, Antonio
The estimation of low energies of many-body systems is a cornerstone of computational quantum sciences. Variational quantum algorithms can be used to prepare ground states on pre-fault-tolerant quantum processors, but their lack of convergence guaran
Externí odkaz:
http://arxiv.org/abs/2407.14431