Zobrazeno 1 - 10
of 36 796
pro vyhledávání: '"A Salvo"'
Autor:
D'Aì, Antonino, Maniadakis, K. Dimitrios, Ferrigno, Carlo, Ambrosi, Elena, Sokolova-Lapa, Ekaterina, Cusumano, Giancarlo, Becker, A. Peter, Burderi, Luciano, Del Santo, Melania, Di Salvo, Tiziana, Fürst, Felix, Iaria, Rosario, Kretschmar, Peter, La Parola, Valentina, Malacaria, Christian, Pinto, Ciro, Pintore, Fabio, Rodriguez-Castillo, A. Guillermo
We aim to investigate profile changes at the cyclotron line energy of the accreting X-ray pulsar V 0332+53 by means of the analysis of its energy-resolved pulse profile behaviour, using the full set of available NuSTAR observations. We apply a tailor
Externí odkaz:
http://arxiv.org/abs/2412.10907
Autor:
Zhang, Sai Qian, Li, Ziyun, Guo, Chuan, Mahloujifar, Saeed, Dangwal, Deeksha, Suh, Edward, De Salvo, Barbara, Liu, Chiao
Inverting visual representations within deep neural networks (DNNs) presents a challenging and important problem in the field of security and privacy for deep learning. The main goal is to invert the features of an unidentified target image generated
Externí odkaz:
http://arxiv.org/abs/2412.10448
Autor:
Garcia, Gabriel Lino, Manesco, João Renato Ribeiro, Paiola, Pedro Henrique, Miranda, Lucas, de Salvo, Maria Paola, Papa, João Paulo
The rapid advancement of large language models (LLMs) has opened new boundaries in the extraction and synthesis of medical knowledge, particularly within evidence synthesis. This paper reviews the state-of-the-art applications of LLMs in the biomedic
Externí odkaz:
http://arxiv.org/abs/2412.03531
Autor:
Albarracín, Rogelio, Zoccali, M., Carvajal, J. Olivares, Rojas-Arriagada, Á., Minniti, J. H., Catelan, M., De Leo, M., Gran, F., Ramos, R. Contreras, Navarro, Á. Valenzuela, Salvo-Guajardo, C.
Publikováno v:
A&A 693, A28 (2025)
The structure and kinematics of the Milky Way disk are largely inferred from the solar vicinity. To gain a comprehensive understanding, it is essential to find reliable tracers in less-explored regions like the bulge and the far side of the disk. Mir
Externí odkaz:
http://arxiv.org/abs/2411.04623
Autor:
Hsieh, He-Yen, Li, Ziyun, Zhang, Sai Qian, Ting, Wei-Te Mark, Chang, Kao-Den, De Salvo, Barbara, Liu, Chiao, Kung, H. T.
We present GazeGen, a user interaction system that generates visual content (images and videos) for locations indicated by the user's eye gaze. GazeGen allows intuitive manipulation of visual content by targeting regions of interest with gaze. Using
Externí odkaz:
http://arxiv.org/abs/2411.04335
Autor:
Parmar, Vivek, Bane, Dwijay, Sarwar, Syed Shakib, Stangherlin, Kleber, De Salvo, Barbara, Suri, Manan
With the emergence of the Metaverse and focus on wearable devices in the recent years gesture based human-computer interaction has gained significance. To enable gesture recognition for VR/AR headsets and glasses several datasets focusing on egocentr
Externí odkaz:
http://arxiv.org/abs/2410.19486
Autor:
Augustin, Maximilian, Sarwar, Syed Shakib, Elhoushi, Mostafa, Zhang, Sai Qian, Li, Yuecheng, De Salvo, Barbara
Following their success in natural language processing (NLP), there has been a shift towards transformer models in computer vision. While transformers perform well and offer promising multi-tasking performance, due to their high compute requirements,
Externí odkaz:
http://arxiv.org/abs/2410.17661
We present a new unified graph-based representation of medical data, combining genetic information and medical records of patients with medical knowledge via a unique knowledge graph. This approach allows us to infer meaningful information and explan
Externí odkaz:
http://arxiv.org/abs/2410.14739
Autor:
Zhao, Yiwei, Li, Ziyun, Khwa, Win-San, Sun, Xiaoyu, Zhang, Sai Qian, Sarwar, Syed Shakib, Stangherlin, Kleber Hugo, Lu, Yi-Lun, Gomez, Jorge Tomas, Seo, Jae-Sun, Gibbons, Phillip B., De Salvo, Barbara, Liu, Chiao
Low-Latency and Low-Power Edge AI is essential for Virtual Reality and Augmented Reality applications. Recent advances show that hybrid models, combining convolution layers (CNN) and transformers (ViT), often achieve superior accuracy/performance tra
Externí odkaz:
http://arxiv.org/abs/2410.08326
Autor:
Di Salvo, Emanuele, Schuricht, Dirk
We apply the linked cluster expansion as well as the quench action approach to study the time evolution of one-point functions after a quantum quench in integrable field theories. We argue that the relaxation towards the stationary value fundamentall
Externí odkaz:
http://arxiv.org/abs/2410.00682