Zobrazeno 1 - 10
of 45 315
pro vyhledávání: '"P. A. Bowen"'
We studied daisy-chained extraordinary magnetoresistance (EMR) devices based on high quality monolayer graphene encapsulated in hexagonal boron nitride (h-BN) at room temperature. The largest magnetoresistance (MR) achieved in our devices is 4.6 x 10
Externí odkaz:
http://arxiv.org/abs/2411.13075
As video generation models advance rapidly, assessing the quality of generated videos has become increasingly critical. Existing metrics, such as Fr\'echet Video Distance (FVD), Inception Score (IS), and ClipSim, measure quality primarily in latent s
Externí odkaz:
http://arxiv.org/abs/2411.13609
Autor:
Yang, Ziyi, Zhang, Zaibin, Zheng, Zirui, Jiang, Yuxian, Gan, Ziyue, Wang, Zhiyu, Ling, Zijian, Chen, Jinsong, Ma, Martz, Dong, Bowen, Gupta, Prateek, Hu, Shuyue, Yin, Zhenfei, Li, Guohao, Jia, Xu, Wang, Lijun, Ghanem, Bernard, Lu, Huchuan, Ouyang, Wanli, Qiao, Yu, Torr, Philip, Shao, Jing
There has been a growing interest in enhancing rule-based agent-based models (ABMs) for social media platforms (i.e., X, Reddit) with more realistic large language model (LLM) agents, thereby allowing for a more nuanced study of complex systems. As a
Externí odkaz:
http://arxiv.org/abs/2411.11581
Autor:
Guan, Xinyan, Liu, Yanjiang, Lu, Xinyu, Cao, Boxi, He, Ben, Han, Xianpei, Sun, Le, Lou, Jie, Yu, Bowen, Lu, Yaojie, Lin, Hongyu
The evolution of machine learning has increasingly prioritized the development of powerful models and more scalable supervision signals. However, the emergence of foundation models presents significant challenges in providing effective supervision si
Externí odkaz:
http://arxiv.org/abs/2411.11504
Zero-shot learning (ZSL) aims to leverage additional semantic information to recognize unseen classes. To transfer knowledge from seen to unseen classes, most ZSL methods often learn a shared embedding space by simply aligning visual embeddings with
Externí odkaz:
http://arxiv.org/abs/2411.11351
Autor:
Zheng, Bowen, Ozawa, Tohru
In this paper, we study a class of variable coefficient Schr\"{o}dinger equations with a linear potential \[i\partial_tu+\nabla\cdot(|x|^b\nabla u)-V(x)u=-|x|^c|u|^pu,\] where $2-n
Externí odkaz:
http://arxiv.org/abs/2411.11334
Autor:
Zheng, Bowen, Ozawa, Tohru
This paper is dedicated to the blow-up solution for the divergence Schr\"{o}dinger equations with inhomogeneous nonlinearity (dINLS for short) \[i\partial_tu+\nabla\cdot(|x|^b\nabla u)=-|x|^c|u|^pu,\quad\quad u(x,0)=u_0(x),\] where $2-nb-2$
Externí odkaz:
http://arxiv.org/abs/2411.11333
Dataset Distillation (DD) is designed to generate condensed representations of extensive image datasets, enhancing training efficiency. Despite recent advances, there remains considerable potential for improvement, particularly in addressing the nota
Externí odkaz:
http://arxiv.org/abs/2411.11329
As the volume and complexity of data continue to expand across various scientific disciplines, the need for robust methods to account for the multiplicity of comparisons has grown widespread. A popular measure of type 1 error rate in multiple testing
Externí odkaz:
http://arxiv.org/abs/2411.10647
Autor:
Chen, Ruoyu, Zhang, Weiyi, Liu, Bowen, Chen, Xiaolan, Xu, Pusheng, Liu, Shunming, He, Mingguang, Shi, Danli
The rising prevalence of vision-threatening retinal diseases poses a significant burden on the global healthcare systems. Deep learning (DL) offers a promising solution for automatic disease screening but demands substantial data. Collecting and labe
Externí odkaz:
http://arxiv.org/abs/2411.10004