Zobrazeno 1 - 10
of 42 094
pro vyhledávání: '"LIU, Jia"'
We introduce a robo-advisor system that recommends customized investment portfolios to users using an expected utility model elicited from pairwise comparison questionnaires. The robo-advisor system comprises three fundamental components. First, we e
Externí odkaz:
http://arxiv.org/abs/2410.12570
Multi-image hiding, which embeds multiple secret images into a cover image and is able to recover these images with high quality, has gradually become a research hotspot in the field of image steganography. However, due to the need to embed a large a
Externí odkaz:
http://arxiv.org/abs/2410.10117
Autor:
Armijo, Joaquin, Marques, Gabriela A., Novaes, Camila P., Thiele, Leander, Cowell, Jessica A., Grandón, Daniela, Shirasaki, Masato, Liu, Jia
We use Minkowski functionals to analyse weak lensing convergence maps from the first-year data release of the Subaru Hyper Suprime-Cam (HSC-Y1) survey. Minkowski functionals provide a description of the morphological properties of a field, capturing
Externí odkaz:
http://arxiv.org/abs/2410.00401
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