Zobrazeno 1 - 10
of 9 133
pro vyhledávání: '"An, Li Bao"'
Real-world data often contains intrinsic ambiguity that the common single-hard-label annotation paradigm ignores. Standard training using ambiguous data with these hard labels may produce overly confident models and thus leading to poor generalizatio
Externí odkaz:
http://arxiv.org/abs/2501.01844
Large diffusion models have become mainstream generative models in both academic studies and industrial AIGC applications. Recently, a number of works further explored how to employ the power of large diffusion models as zero-shot classifiers. While
Externí odkaz:
http://arxiv.org/abs/2412.12594
Machine learning can uncover physical concepts or physical equations when prior knowledge from another one is available. However, in many cases, these two aspects are coupled and cannot be discovered independently. We extend SciNet, which is a neural
Externí odkaz:
http://arxiv.org/abs/2412.12161
Autor:
Zhang, Nai-Bo, Li, Bao-An
The density dependence of nuclear symmetry energy $E_{\rm sym}(\rho)$ remains the most uncertain aspect of the equation of state (EOS) of supradense neutron-rich nucleonic matter. Implications of observational crustal fraction of neutron star (NS) mo
Externí odkaz:
http://arxiv.org/abs/2411.06238
Autor:
Cai, Bao-Jun, Li, Bao-An
Publikováno v:
Front. Astron. Space Sci., Vol. 11 (2024) on the Research Topic Strong and Weak Interactions in Compact Stars
The strong-field gravity in General Relativity (GR) realized in neutron stars (NSs) renders the Equation of State (EOS) $P(\varepsilon)$ of supradense neutron star (NS) matter to be essentially nonlinear and refines the upper bound for $\phi\equiv P/
Externí odkaz:
http://arxiv.org/abs/2409.18854
Autor:
Liu, Buhua, Shao, Shitong, Li, Bao, Bai, Lichen, Xu, Zhiqiang, Xiong, Haoyi, Kwok, James, Helal, Sumi, Xie, Zeke
Diffusion models have emerged as the leading paradigm in generative modeling, excelling in various applications. Despite their success, these models often misalign with human intentions, generating outputs that may not match text prompts or possess d
Externí odkaz:
http://arxiv.org/abs/2409.07253
We theoretically explore the precise control of a molecular polariton by strongly coupling the lowest three rotational states of a single molecule with a single-mode cavity. We examine two distinct cavity resonance configurations: a fundamental frequ
Externí odkaz:
http://arxiv.org/abs/2409.05648
Autor:
Hu, Pei-Chu, Li, Bao Qin
In this paper, we give a form of refined Roth's theorem. As an application, we prove a special case of the $abc$-conjecture.
Comment: There is an error in Theorem 1.6
Comment: There is an error in Theorem 1.6
Externí odkaz:
http://arxiv.org/abs/2407.18406
Publikováno v:
Phys. Rev. D 110, 103040 (2024)
To more precisely constrain the Equation of State (EOS) of supradense neutron-rich nuclear matter, future high-precision X-ray and gravitational wave observatories are proposed to measure the radii of neutron stars (NSs) with an accuracy better than
Externí odkaz:
http://arxiv.org/abs/2407.07823
Publikováno v:
Physical Review C 110, 044604 (2024)
Applications of new techniques in machine learning are speeding up progress in research in various fields. In this work, we construct and evaluate a deep neural network (DNN) to be used within a Bayesian statistical framework as a faster and more rel
Externí odkaz:
http://arxiv.org/abs/2406.18421