Zobrazeno 1 - 10
of 2 775
pro vyhledávání: '"Dereń, P"'
Autor:
Zhao, Tong, Zhong, Shulin, Sun, Yuxin, Wu, Defan, Zhang, Chunyi, Shi, Rui, Chen, Hao, Ni, Zhenyi, Pi, Xiaodong, Ma, Xiangyang, Lu, Yunhao, Yang, Deren
Pressure-induced phase transformation occurs during silicon (Si) wafering processes. \b{eta}-tin (Si-II) phase is formed at high pressures, followed by the transformation to Si-XII, Si-III or/and amorphous Si ({\alpha}-Si) phases during the subsequen
Externí odkaz:
http://arxiv.org/abs/2412.04732
Autor:
Chen, Xia, Zhang, Xi, He, Wenjie, Li, Yu, Lu, Jiating, Yang, Dinghua, Li, Deren, Lei, Li, Peng, Yong, Xiang, Gang
Van der Waals (vdW) layered ferromagnet Fe3GaTe2 shows great potential in two-dimensional spintronic application due to its robust room-temperature ferromagnetism and large perpendicular magnetic anisotropy. Despite the tremendous progress in the spi
Externí odkaz:
http://arxiv.org/abs/2411.16463
In recent years, a distributed Douglas-Rachford splitting method (DDRSM) has been proposed to tackle multi-block separable convex optimization problems. This algorithm offers relatively easier subproblems and greater efficiency for large-scale proble
Externí odkaz:
http://arxiv.org/abs/2411.11486
Autor:
Xu, Rui, Hu, Mengya, Lei, Deren, Li, Yaxi, Lowe, David, Gorevski, Alex, Wang, Mingyu, Ching, Emily, Deng, Alex
The proliferation of AI-generated images has intensified the need for robust content authentication methods. We present InvisMark, a novel watermarking technique designed for high-resolution AI-generated images. Our approach leverages advanced neural
Externí odkaz:
http://arxiv.org/abs/2411.07795
Autor:
Ferrante, Laura, Boesendorfer, Anna, Barsakcioglu, Deren Yusuf, Baumgartner, Benedikt, Al-Ajam, Yazan, Woollard, Alex, Kang, Norbert Venantius, Aszmann, Oskar, Farina, Dario
Following limb amputation, neural signals for limb functions persist in the residual peripheral nerves. Targeted muscle reinnervation (TMR) allows to redirected these signals into spare muscles to recover the neural information through electromyograp
Externí odkaz:
http://arxiv.org/abs/2410.10694
Autor:
Han, Deren, Xie, Jiaxin
The Kaczmarz method and its variants, which are types of stochastic gradient descent (SGD) methods, have been extensively studied for their simplicity and efficiency in solving linear systems. Random reshuffling (RR), also known as SGD without replac
Externí odkaz:
http://arxiv.org/abs/2410.01140
Autor:
Deren, Pascal
L’émotion est caractérisée par la mobilisation conjointe du corps et de l’esprit. Ce statut particulier justifie l’attention particulière que lui portent tous ceux qui se consacrent à l’étude de l’homme. Très tôt, les médecins rel
Externí odkaz:
http://www.theses.fr/2011LIL10071/document
Autor:
Yan, Yuchao, Liu, Yingying, Wang, Ziyi, Liu, Da, Gao, Xu, Wang, Yan, Li, Cheng, Ma, KeKe, Xia, Ning, Jin, Zhu, Deng, Tianqi, Zhang, Hui, Yang, Deren
Grain boundaries have extensive influence on the performance of crystal materials. However, the atomic-scale structure and its relation with local and crystallographic symmetries remain elusive in low-symmetry crystals. Herein, we find that the local
Externí odkaz:
http://arxiv.org/abs/2409.14681
This paper presents an Accelerated Preconditioned Proximal Gradient Algorithm (APPGA) for effectively solving a class of Positron Emission Tomography (PET) image reconstruction models with differentiable regularizers. We establish the convergence of
Externí odkaz:
http://arxiv.org/abs/2409.13344
Autor:
Hu, Mengya, Xu, Rui, Lei, Deren, Li, Yaxi, Wang, Mingyu, Ching, Emily, Kamal, Eslam, Deng, Alex
Large language models (LLMs) are highly capable but face latency challenges in real-time applications, such as conducting online hallucination detection. To overcome this issue, we propose a novel framework that leverages a small language model (SLM)
Externí odkaz:
http://arxiv.org/abs/2408.12748