Zobrazeno 1 - 10
of 42 824
pro vyhledávání: '"An, Zhijie"'
Combining gradient compression methods (e.g., CountSketch, quantization) and adaptive optimizers (e.g., Adam, AMSGrad) is a desirable goal in federated learning (FL), with potential benefits on both fewer communication rounds and less per-round commu
Externí odkaz:
http://arxiv.org/abs/2411.06770
Autor:
Li, Jiang-Tao, Yu, Xiaodi, Mao, Huiyang, Chen, Hanxiao, Yang, Tiancheng, Qu, Zhijie, Bian, Fuyan, Bregman, Joel N., Cai, Zheng, Fan, Xiaohui, Fang, Taotao, Ji, Li, Ji, Zhiyuan, Johnson, Sean D., Li, Guoliang, Liu, Weizhe, Song, Ying-Yi, Wang, Feige, Wang, Tao, Wang, Xin, Williams, Christina, Xu, Mingxuan, Yang, Jinyi, Yang, Yang, Zheng, Xianzhong
The He II reionization epoch is expected to take place at $z\sim3-5$. In this stage, the helium and metals in the inter-galactic medium (IGM) are further ionized with additional contributions from harder non-stellar sources, and some large-scale grav
Externí odkaz:
http://arxiv.org/abs/2411.05396
We study in this paper the problem of least absolute deviation (LAD) regression for high-dimensional heavy-tailed time series which have finite $\alpha$-th moment with $\alpha \in (1,2]$. To handle the heavy-tailed dependent data, we propose a Catoni
Externí odkaz:
http://arxiv.org/abs/2411.05217
Acquisition of large datasets for three-dimensional (3D) partial differential equations are usually very expensive. Physics-informed neural operator (PINO) eliminates the high costs associated with generation of training datasets, and shows great pot
Externí odkaz:
http://arxiv.org/abs/2411.04502
Autor:
Kang, Bingyi, Yue, Yang, Lu, Rui, Lin, Zhijie, Zhao, Yang, Wang, Kaixin, Huang, Gao, Feng, Jiashi
OpenAI's Sora highlights the potential of video generation for developing world models that adhere to fundamental physical laws. However, the ability of video generation models to discover such laws purely from visual data without human priors can be
Externí odkaz:
http://arxiv.org/abs/2411.02385
Autor:
Zhang, Zhiyao, Li, Zhijie, Wang, Yunpeng, Yang, Huiyu, Peng, Wenhui, Teng, Jian, Wang, Jianchun
The accurate and fast prediction of long-term dynamics of turbulence presents a significant challenge for both traditional numerical simulations and machine learning methods. In recent years, the emergence of neural operators has provided a promising
Externí odkaz:
http://arxiv.org/abs/2411.01885
The interplay between short-range (SR) and long-range (LR) universal behaviors remains a fundamental topic in studying long-range interacting systems. The interaction between LR coupling and the Berezinskii-Kosterlitz-Thouless (BKT) mechanism introdu
Externí odkaz:
http://arxiv.org/abs/2411.01811
Autor:
Chen, Zhijie, Zhao, Hanqing
We study the weakly coupled nonlinear Schr\"odinger system \begin{equation*} \begin{cases} -\Delta u_1 = \mu_1 u_1^{p} +\beta u_1^{\frac{p-1}{2}} u_2^{\frac{p+1}{2}}\text{ in } \Omega,\\ -\Delta u_2 = \mu_2 u_2^{p} +\beta u_2^{\frac{p-1}{2}}u_1^{\fra
Externí odkaz:
http://arxiv.org/abs/2410.22614
The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by legitimate platforms, mimic regular activity to deceive users. The cu
Externí odkaz:
http://arxiv.org/abs/2410.20713
In this paper, we use the non-increasing rearrangement of ${\rm IDA}$ function with respect to a suitable measure to characterize the asymptotic behavior of the singular values sequence $\{s_n(H_f)\}_n$ of Hankel operators $H_f$ acting on a large cla
Externí odkaz:
http://arxiv.org/abs/2410.20082