Zobrazeno 1 - 10
of 4 735
pro vyhledávání: '"Ma, Zhi"'
Autor:
Ni, Yuyan, Feng, Shikun, Hong, Xin, Sun, Yuancheng, Ma, Wei-Ying, Ma, Zhi-Ming, Ye, Qiwei, Lan, Yanyan
Deep learning methods have been considered promising for accelerating molecular screening in drug discovery and material design. Due to the limited availability of labelled data, various self-supervised molecular pre-training methods have been presen
Externí odkaz:
http://arxiv.org/abs/2407.11086
Autor:
Wei, Long, Hu, Peiyan, Feng, Ruiqi, Feng, Haodong, Du, Yixuan, Zhang, Tao, Wang, Rui, Wang, Yue, Ma, Zhi-Ming, Wu, Tailin
Controlling the evolution of complex physical systems is a fundamental task across science and engineering. Classical techniques suffer from limited applicability or huge computational costs. On the other hand, recent deep learning and reinforcement
Externí odkaz:
http://arxiv.org/abs/2407.06494
This paper aims to construct optimal quaternary additive codes with non-integer dimensions. Firstly, we propose combinatorial constructions of quaternary additive constant-weight codes, alongside additive anticode construction. Subsequently, we propo
Externí odkaz:
http://arxiv.org/abs/2407.04193
As the hottest high-energy neutrino spot, NGC 1068 has received much attention in recent years. Here we focus on the central region of the active galactic nuclei (AGN) and propose an outflow-cloud interaction model that could probably explain the obs
Externí odkaz:
http://arxiv.org/abs/2406.14001
Recently, a noticeable trend has emerged in developing pre-trained foundation models in the domains of CV and NLP. However, for molecular pre-training, there lacks a universal model capable of effectively applying to various categories of molecular t
Externí odkaz:
http://arxiv.org/abs/2405.10343
Publikováno v:
Mach. Learn.: Sci. Technol. 5 (2024) 025011
For Ising models with complex energy landscapes, whether the ground state can be found by neural networks depends heavily on the Hamming distance between the training datasets and the ground state. Despite the fact that various recently proposed gene
Externí odkaz:
http://arxiv.org/abs/2405.03435
Many deep neural networks have been used to solve Ising models, including autoregressive neural networks, convolutional neural networks, recurrent neural networks, and graph neural networks. Learning a probability distribution of energy configuration
Externí odkaz:
http://arxiv.org/abs/2404.06225
IP-based software design is a crucial research field that aims to improve efficiency and reliability by reusing complex software components known as intellectual property (IP) components. To ensure the reusability of these components, particularly in
Externí odkaz:
http://arxiv.org/abs/2404.00795
This paper aims to clearly distinguish between Stochastic Gradient Descent with Momentum (SGDM) and Adam in terms of their convergence rates. We demonstrate that Adam achieves a faster convergence compared to SGDM under the condition of non-uniformly
Externí odkaz:
http://arxiv.org/abs/2403.15146
Autor:
Ma, Zhi-Peng, Wang, Kai
Merging of stellar-mass binary black holes (BBH) could take place within the accretion disk of active galactic nuclei (AGN). The resulting BH remnant is likely to accrete the disk gas at a super-Eddington rate, launching a fast, quasi-spherical outfl
Externí odkaz:
http://arxiv.org/abs/2403.09387