Zobrazeno 1 - 10
of 92 646
pro vyhledávání: '"Li XIAO"'
Publikováno v:
Agricultural Archaeology. 2022, Issue 3, p231-237. 7p.
Topological materials for classical waves offer remarkable potential in applications such as sensing, waveguiding and signal processing, leveraging topological protection effects like strong robustness, immunity to backscattering and unidirectional t
Externí odkaz:
http://arxiv.org/abs/2501.01766
According to the theory of group representations, the types of band degeneracy can be divided into accidental degeneracy and essential degeneracy. The essentially degenerate nodal lines (NLs) are typically resided on the high-symmetry lines of the Br
Externí odkaz:
http://arxiv.org/abs/2501.00706
We consider the Restricted Inverse Optimal Value Problem (RIOVSP) on trees under weighted bottleneck Hamming distance, denoted as (RIOVSPT$_{BH}$). The problem aims to minimize the total cost under weighted bottle-neck Hamming distance such that the
Externí odkaz:
http://arxiv.org/abs/2412.20703
Valley-contrasting Hall transport conventionally relies on the inversion symmetry breaking in two-dimensional systems, which greatly limits the selection range of valley materials. In particular, while monolayer transition metal dichalcogenides have
Externí odkaz:
http://arxiv.org/abs/2412.19502
Autor:
Deng, Chao, Yuan, Jiale, Bu, Pi, Wang, Peijie, Li, Zhong-Zhi, Xu, Jian, Li, Xiao-Hui, Gao, Yuan, Song, Jun, Zheng, Bo, Liu, Cheng-Lin
Large vision language models (LVLMs) have improved the document understanding capabilities remarkably, enabling the handling of complex document elements, longer contexts, and a wider range of tasks. However, existing document understanding benchmark
Externí odkaz:
http://arxiv.org/abs/2412.18424
We present a foundation model (FM) for lossy scientific data compression, combining a variational autoencoder (VAE) with a hyper-prior structure and a super-resolution (SR) module. The VAE framework uses hyper-priors to model latent space dependencie
Externí odkaz:
http://arxiv.org/abs/2412.17184
Tabular data generation has attracted significant research interest in recent years, with the tabular diffusion models greatly improving the quality of synthetic data. However, while memorization, where models inadvertently replicate exact or near-id
Externí odkaz:
http://arxiv.org/abs/2412.11044
We present rigorous error estimates towards a first-order unconditionally energy stable scheme designed for 3D hydrodynamic Q-tensor model of nematic liquid crystals. This scheme combines the scalar auxiliary variable (SAV), stabilization and project
Externí odkaz:
http://arxiv.org/abs/2412.08027