Zobrazeno 1 - 10
of 56 473
pro vyhledávání: '"P, Xun"'
Autor:
Li, Ying-Fei, Been, Emily M., Balguri, Sudhaman, Jia, Chun-Jing, Mahenderu, Mira B., Wang, Zhi-Cheng, Cui, Yi, Chen, Su-Di, Hashimoto, Makoto, Lu, Dong-Hui, Moritz, Brian, Zaanen, Jan, Tafti, Fazel, Devereaux, Thomas P., Shen, Zhi-Xun
Recent experiments suggest a new paradigm towards novel colossal magnetoresistance (CMR) in a family of materials EuM$_2$X$_2$(M=Cd, In, Zn; X=P, As), distinct from the traditional avenues involving Kondo-RKKY crossovers, magnetic phase transitions w
Externí odkaz:
http://arxiv.org/abs/2410.22727
Autor:
Wang, Qi, Ren, Pu, Zhou, Hao, Liu, Xin-Yang, Deng, Zhiwen, Zhang, Yi, Chengze, Ruizhi, Liu, Hongsheng, Wang, Zidong, Wang, Jian-Xun, Ji-Rong_Wen, Sun, Hao, Liu, Yang
When solving partial differential equations (PDEs), classical numerical methods often require fine mesh grids and small time stepping to meet stability, consistency, and convergence conditions, leading to high computational cost. Recently, machine le
Externí odkaz:
http://arxiv.org/abs/2411.00040
Current techniques for detecting AI-generated text are largely confined to manual feature crafting and supervised binary classification paradigms. These methodologies typically lead to performance bottlenecks and unsatisfactory generalizability. Cons
Externí odkaz:
http://arxiv.org/abs/2410.20964
Autor:
Li, Zongyi, Hu, Shujie, Liu, Shujie, Zhou, Long, Choi, Jeongsoo, Meng, Lingwei, Guo, Xun, Li, Jinyu, Ling, Hefei, Wei, Furu
Text-to-video models have recently undergone rapid and substantial advancements. Nevertheless, due to limitations in data and computational resources, achieving efficient generation of long videos with rich motion dynamics remains a significant chall
Externí odkaz:
http://arxiv.org/abs/2410.20502
The utilization of large foundational models has a dilemma: while fine-tuning downstream tasks from them holds promise for making use of the well-generalized knowledge in practical applications, their open accessibility also poses threats of adverse
Externí odkaz:
http://arxiv.org/abs/2410.20197
Autor:
Shi, Xun
Publikováno v:
2024 ApJ 975 79
Most research on astrophysical lensing has been conducted using the geometric optics framework, where there exists a clear concept of lensing images. However, wave optics effects can be important for coherent sources, e.g. pulsars, fast raio bursts,
Externí odkaz:
http://arxiv.org/abs/2410.20049
Offline-to-Online Reinforcement Learning has emerged as a powerful paradigm, leveraging offline data for initialization and online fine-tuning to enhance both sample efficiency and performance. However, most existing research has focused on single-ag
Externí odkaz:
http://arxiv.org/abs/2410.19450
We study the identification and estimation of heterogeneous, intertemporal treatment effects (TE) when potential outcomes depend on past treatments. First, applying a dynamic panel data model to observed outcomes, we show that instrument-based GMM es
Externí odkaz:
http://arxiv.org/abs/2410.19060
We construct a family of chiral symmetry-protected third-order topological insulators by stacking Su-Schrieffer-Heeger (SSH) chains and provide a unified topological characterization by a series of Bott indices. Our approach is informed by the analyt
Externí odkaz:
http://arxiv.org/abs/2410.18016
Autor:
Luo, Xun-Jiang, Wu, Fengcheng
In a class of systems, there are gapped boundary-localized states described by a boundary Hamiltonian. The topological classification of gapped boundary Hamiltonians can lead to the emergence of boundary topological insulators (TIs) and superconducto
Externí odkaz:
http://arxiv.org/abs/2410.18015