Zobrazeno 1 - 10
of 41 814
pro vyhledávání: '"Liu, Jia"'
We explore the potential of studying sterile neutrinos at a future high-energy muon collider, where these particles can generate small active neutrino masses via the seesaw mechanism and exhibit long-lived particle signatures. A Dirac sterile neutrin
Externí odkaz:
http://arxiv.org/abs/2409.17243
Autor:
Zhou, Xinrui, Huang, Yuhao, Dou, Haoran, Chen, Shijing, Chang, Ao, Liu, Jia, Long, Weiran, Zheng, Jian, Xu, Erjiao, Ren, Jie, Huang, Ruobing, Cheng, Jun, Xue, Wufeng, Ni, Dong
In the medical field, the limited availability of large-scale datasets and labor-intensive annotation processes hinder the performance of deep models. Diffusion-based generative augmentation approaches present a promising solution to this issue, havi
Externí odkaz:
http://arxiv.org/abs/2409.17091
Autor:
Du, Jin, Zhang, Xinhe, Shen, Hao, Xian, Xun, Wang, Ganghua, Zhang, Jiawei, Yang, Yuhong, Li, Na, Liu, Jia, Ding, Jie
Lifelong learning in artificial intelligence (AI) aims to mimic the biological brain's ability to continuously learn and retain knowledge, yet it faces challenges such as catastrophic forgetting. Recent neuroscience research suggests that neural acti
Externí odkaz:
http://arxiv.org/abs/2409.13997
In this paper, we study a fully-decentralized multi-agent policy evaluation problem, which is an important sub-problem in cooperative multi-agent reinforcement learning, in the presence of up to $f$ faulty agents. In particular, we focus on the so-ca
Externí odkaz:
http://arxiv.org/abs/2409.12882
Autor:
Wang, Chen-Yu, Yin, Yi-Han Iris, Zhang, Bin-Bin, Feng, Hua, Zeng, Ming, Xiong, Shao-Lin, Pan, Xiao-Fan, Yang, Jun, Zhang, Yan-Qiu, Li, Chen, Yan, Zhen-Yu, Wang, Chen-Wei, Zheng, Xu-Tao, Liu, Jia-Cong, Wang, Qi-Dong, Yang, Zi-Rui, Li, Long-Hao, Liu, Qi-Ze, Zhao, Zheng-Yang, Hu, Bo, Liu, Yi-Qi, Lu, Si-Yuan, Luo, Zi-You, Cang, Ji-Rong, Cao, De-Zhi, Han, Wen-Tao, Jia, Li-Ping, Pan, Xing-Yu, Tian, Yang, Xu, Ben-Da, Yang, Xiao, Zeng, Zhi
GRB 230812B, detected by the Gamma-Ray Integrated Detectors (GRID) constellation mission, is an exceptionally bright gamma-ray burst (GRB) with a duration of only 3 seconds. Sitting near the traditional boundary ($\sim$ 2 s) between long and short GR
Externí odkaz:
http://arxiv.org/abs/2409.12613
Anomalous Sound Detection (ASD) has gained significant interest through the application of various Artificial Intelligence (AI) technologies in industrial settings. Though possessing great potential, ASD systems can hardly be readily deployed in real
Externí odkaz:
http://arxiv.org/abs/2409.07016
Marked power spectra provide a computationally efficient way to extract non-Gaussian information from the matter density field using the usual analysis tools developed for the power spectrum without the need for explicit calculation of higher-order c
Externí odkaz:
http://arxiv.org/abs/2409.05695
Federated Learning (FL) has gained significant popularity due to its effectiveness in training machine learning models across diverse sites without requiring direct data sharing. While various algorithms along with their optimization analyses have sh
Externí odkaz:
http://arxiv.org/abs/2409.03863
One-shot voice conversion(VC) aims to change the timbre of any source speech to match that of the target speaker with only one speech sample. Existing style transfer-based VC methods relied on speech representation disentanglement and suffered from a
Externí odkaz:
http://arxiv.org/abs/2409.01668
Autor:
Novaes, Camila P., Thiele, Leander, Armijo, Joaquin, Cheng, Sihao, Cowell, Jessica A., Marques, Gabriela A., Ferreira, Elisa G. M., Shirasaki, Masato, Osato, Ken, Liu, Jia
We present cosmological constraints from weak lensing with the Subaru Hyper Suprime-Cam (HSC) first-year (Y1) data, using a simulation-based inference (SBI) method. % We explore the performance of a set of higher-order statistics (HOS) including the
Externí odkaz:
http://arxiv.org/abs/2409.01301