Zobrazeno 1 - 10
of 13 015
pro vyhledávání: '"Sun YUE"'
In this paper, we investigate pure geometric $f(R)$ cosmology branes embedded in five-dimensional spacetime. The form of $f(R)$ is chosen as a polynomial. The Five-dimensional scalar curvature $R$ is assumed to be constant. Based on the value of the
Externí odkaz:
http://arxiv.org/abs/2410.11310
Autor:
Acharya, Atithi, Yalovetzky, Romina, Minssen, Pierre, Chakrabarti, Shouvanik, Shaydulin, Ruslan, Raymond, Rudy, Sun, Yue, Herman, Dylan, Andrist, Ruben S., Salton, Grant, Schuetz, Martin J. A., Katzgraber, Helmut G., Pistoia, Marco
Industrially relevant constrained optimization problems, such as portfolio optimization and portfolio rebalancing, are often intractable or difficult to solve exactly. In this work, we propose and benchmark a decomposition pipeline targeting portfoli
Externí odkaz:
http://arxiv.org/abs/2409.10301
Autor:
Mizukoshi, Yuki, Jimbo, Kotaro, Park, Akiyoshi, Sun, Yue, Tamegai, Tsuyoshi, Kitano, Haruhisa
We report precise measurements to obtain the normal-state resistivity and the depairing current density of BaFe$_2$(As$_{1-x}$P$_x$)$_2$($x\sim0.29-0.32$) nanobridges along the $c$ axis, which are fabricated from single crystals near the optimal dopi
Externí odkaz:
http://arxiv.org/abs/2408.09090
Current knowledge distillation (KD) methods primarily focus on transferring various structured knowledge and designing corresponding optimization goals to encourage the student network to imitate the output of the teacher network. However, introducin
Externí odkaz:
http://arxiv.org/abs/2407.03719
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation
Ultrasound is widely used in clinical practice due to its affordability, portability, and safety. However, current AI research often overlooks combined disease prediction and tissue segmentation. We propose UniUSNet, a universal framework for ultraso
Externí odkaz:
http://arxiv.org/abs/2406.01154
In this paper, we study the critical behaviors in the non-Hermitian disorder Aubry-Andr\'{e} (DAA) model, and we assume the non-Hermiticity is introduced by nonreciprocal hopping. We employ the localization length $\xi$, the inverse participation rat
Externí odkaz:
http://arxiv.org/abs/2405.15220
Spatiotemporal prediction plays an important role in solving natural problems and processing video frames, especially in weather forecasting and human action recognition. Recent advances attempt to incorporate prior physical knowledge into the deep l
Externí odkaz:
http://arxiv.org/abs/2405.14504
Time Series Forecasting plays a crucial role in various fields such as industrial equipment maintenance, meteorology, energy consumption, traffic flow and financial investment. However, despite their considerable advantages over traditional statistic
Externí odkaz:
http://arxiv.org/abs/2405.13300
Autor:
Conde, Marcos V., Vasluianu, Florin-Alexandru, Timofte, Radu, Zhang, Jianxing, Li, Jia, Wang, Fan, Li, Xiaopeng, Liu, Zikun, Park, Hyunhee, Song, Sejun, Kim, Changho, Huang, Zhijuan, Yu, Hongyuan, Wan, Cheng, Xiang, Wending, Lin, Jiamin, Zhong, Hang, Zhang, Qiaosong, Sun, Yue, Yin, Xuanwu, Zuo, Kunlong, Xu, Senyan, Jiang, Siyuan, Sun, Zhijing, Zhu, Jiaying, Li, Liangyan, Chen, Ke, Li, Yunzhe, Ning, Yimo, Zhao, Guanhua, Chen, Jun, Yu, Jinyang, Xu, Kele, Xu, Qisheng, Dou, Yong
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem
Externí odkaz:
http://arxiv.org/abs/2404.16223
Ensuring both accuracy and robustness in time series prediction is critical to many applications, ranging from urban planning to pandemic management. With sufficient training data where all spatiotemporal patterns are well-represented, existing deep-
Externí odkaz:
http://arxiv.org/abs/2404.01217