Zobrazeno 1 - 10
of 35 490
pro vyhledávání: '"A, Sikora"'
Autor:
Xu, Shaochen, Zhou, Yifan, Liu, Zhengliang, Wu, Zihao, Zhong, Tianyang, Zhao, Huaqin, Li, Yiwei, Jiang, Hanqi, Pan, Yi, Chen, Junhao, Lu, Jin, Zhang, Wei, Zhang, Tuo, Zhang, Lu, Zhu, Dajiang, Li, Xiang, Liu, Wei, Li, Quanzheng, Sikora, Andrea, Zhai, Xiaoming, Xiang, Zhen, Liu, Tianming
Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model-based approaches, including those leveraging in-context demonstration
Externí odkaz:
http://arxiv.org/abs/2411.14461
Autor:
Sikora, Adam S.
We propose conjectural generalizations of the Fermat-Catalan conjecture, the Tijdeman-Zagier conjecture, and of the Fermat Last Theorem, in which powers are replaced by products of integers. We also formulate a new explicit version of the abc conject
Externí odkaz:
http://arxiv.org/abs/2410.21552
The two-loop self-energy correction to the bound-electron $g$-factor in hydrogenlike ions is investigated, taking into account the electron-nucleus interaction exactly. This all-order calculation is required to improve the total theoretical uncertain
Externí odkaz:
http://arxiv.org/abs/2410.10421
Autor:
Hoyo, Junis Heiland, Sikora, Bastian
The hyperfine structure of bound electrons in hydrogen-like ions is considered with corrections to the energy levels due to vacuum polarization (VP). Corrections to the wave function as well as the magnetic potential are determined for both leptonic
Externí odkaz:
http://arxiv.org/abs/2410.09161
A well-known feature of quantum information is that it cannot, in general, be cloned. Recently, a number of quantum-enabled information-processing tasks have demonstrated various forms of uncloneability; among these forms, piracy is an adversarial mo
Externí odkaz:
http://arxiv.org/abs/2410.02228
Autor:
Zhong, Tianyang, Liu, Zhengliang, Pan, Yi, Zhang, Yutong, Zhou, Yifan, Liang, Shizhe, Wu, Zihao, Lyu, Yanjun, Shu, Peng, Yu, Xiaowei, Cao, Chao, Jiang, Hanqi, Chen, Hanxu, Li, Yiwei, Chen, Junhao, Hu, Huawen, Liu, Yihen, Zhao, Huaqin, Xu, Shaochen, Dai, Haixing, Zhao, Lin, Zhang, Ruidong, Zhao, Wei, Yang, Zhenyuan, Chen, Jingyuan, Wang, Peilong, Ruan, Wei, Wang, Hui, Zhao, Huan, Zhang, Jing, Ren, Yiming, Qin, Shihuan, Chen, Tong, Li, Jiaxi, Zidan, Arif Hassan, Jahin, Afrar, Chen, Minheng, Xia, Sichen, Holmes, Jason, Zhuang, Yan, Wang, Jiaqi, Xu, Bochen, Xia, Weiran, Yu, Jichao, Tang, Kaibo, Yang, Yaxuan, Sun, Bolun, Yang, Tao, Lu, Guoyu, Wang, Xianqiao, Chai, Lilong, Li, He, Lu, Jin, Sun, Lichao, Zhang, Xin, Ge, Bao, Hu, Xintao, Zhang, Lian, Zhou, Hua, Zhang, Lu, Zhang, Shu, Liu, Ninghao, Jiang, Bei, Kong, Linglong, Xiang, Zhen, Ren, Yudan, Liu, Jun, Jiang, Xi, Bao, Yu, Zhang, Wei, Li, Xiang, Li, Gang, Liu, Wei, Shen, Dinggang, Sikora, Andrea, Zhai, Xiaoming, Zhu, Dajiang, Liu, Tianming
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, including computer science, mathematics, natural sciences, medicine, linguist
Externí odkaz:
http://arxiv.org/abs/2409.18486
We verify the continuity of the Riesz transform from the operator related Hardy space to $L^1$ - Lebesgue space of integrable functions. For the standard Euclidean Laplace operator, this is a classical result that plays a significant role in harmonic
Externí odkaz:
http://arxiv.org/abs/2409.14877
Kernel image regression methods have shown to provide excellent efficiency in many image processing task, such as image and light-field compression, Gaussian Splatting, denoising and super-resolution. The estimation of parameters for these methods fr
Externí odkaz:
http://arxiv.org/abs/2409.10101
Autor:
Sikora, Maciej, Oliver-Serra, Albert, Siwik, Leszek, Leszczyńska, Natalia, Ciesielski, Tomasz Maciej, Valseth, Eirik, Leszczyński, Jacek, Paszyńska, Anna, Paszyński, Maciej
In this paper, we present two computational methods for performing simulations of pollution propagation described by advection-diffusion equations. The first method employs graph grammars to describe the generation process of the computational mesh u
Externí odkaz:
http://arxiv.org/abs/2409.08799
This study introduces TinyPropv2, an innovative algorithm optimized for on-device learning in deep neural networks, specifically designed for low-power microcontroller units. TinyPropv2 refines sparse backpropagation by dynamically adjusting the leve
Externí odkaz:
http://arxiv.org/abs/2409.07109