Zobrazeno 1 - 10
of 341 618
pro vyhledávání: '"A, Ran"'
Autor:
Bercovich, Akhiad, Ronen, Tomer, Abramovich, Talor, Ailon, Nir, Assaf, Nave, Dabbah, Mohammad, Galil, Ido, Geifman, Amnon, Geifman, Yonatan, Golan, Izhak, Haber, Netanel, Karpas, Ehud, Koren, Roi, Levy, Itay, Molchanov, Pavlo, Mor, Shahar, Moshe, Zach, Nabwani, Najeeb, Puny, Omri, Rubin, Ran, Schen, Itamar, Shahaf, Ido, Tropp, Oren, Argov, Omer Ullman, Zilberstein, Ran, El-Yaniv, Ran
Large language models (LLMs) have demonstrated remarkable capabilities, but their adoption is limited by high computational costs during inference. While increasing parameter counts enhances accuracy, it also widens the gap between state-of-the-art c
Externí odkaz:
http://arxiv.org/abs/2411.19146
Autor:
Lin, Rui, Zhong, Han-Sen, Li, You, Zhao, Zhang-Rui, Zheng, Le-Tian, Hu, Tai-Ran, Wu, Hong-Ming, Wu, Zhan, Ma, Wei-Jie, Gao, Yan, Zhu, Yi-Kang, Su, Zhao-Feng, Ouyang, Wan-Li, Zhang, Yu-Chen, Rui, Jun, Chen, Ming-Cheng, Lu, Chao-Yang, Pan, Jian-Wei
Assembling increasingly larger-scale defect-free optical tweezer-trapped atom arrays is essential for quantum computation and quantum simulations based on atoms. Here, we propose an AI-enabled, rapid, constant-time-overhead rearrangement protocol, an
Externí odkaz:
http://arxiv.org/abs/2412.14647
Climate change is intensifying rainfall extremes, making high-resolution precipitation projections crucial for society to better prepare for impacts such as flooding. However, current Global Climate Models (GCMs) operate at spatial resolutions too co
Externí odkaz:
http://arxiv.org/abs/2412.14539
We investigate the correlations between net baryon number and electric charge up to sixth order related to the interactions of nuclear matter at low temperature, and explore their relationship with the nuclear liquid-gas phase transition (LGPT) withi
Externí odkaz:
http://arxiv.org/abs/2412.15542
National carbon peak track and optimized provincial carbon allocations are crucial for mitigating regional inequality within the commercial building sector during China's transition to carbon neutrality. This study proposes a top-down model to evalua
Externí odkaz:
http://arxiv.org/abs/2412.14523
Autor:
Ran, Chen, xiaowen, Zhang
We denote a path on $t$ vertices as $P_t$ and a cycle on $t$ vertices as $C_t$. For two vertex-disjoint graphs $G_1$ and $G_2$, the {\em union} $G_1\cup G_2$ is the graph with $V(G_1\cup G_2)=V(G_1)\cup V(G_2)$ and $E(G_1\cup G_2)=E(G_1)\cup E(G_2)$.
Externí odkaz:
http://arxiv.org/abs/2412.14524
Autor:
Bai, Rui, Lu, Di, Ran, Shihao, Olson, Elizabeth, Lamba, Hemank, Cahill, Aoife, Tetreault, Joel, Jaimes, Alex
Natural Language Processing (NLP) of news articles can play an important role in understanding the dynamics and causes of violent conflict. Despite the availability of datasets categorizing various conflict events, the existing labels often do not co
Externí odkaz:
http://arxiv.org/abs/2412.13511
In this paper, a novel $h$-adaptive isogeometric solver utilizing high-order hierarchical splines is proposed to solve the all-electron Kohn--Sham equation. In virtue of the smooth nature of Kohn--Sham wavefunctions across the domain, except at the n
Externí odkaz:
http://arxiv.org/abs/2412.12580
Publikováno v:
BIBM 2024
Molecular subtyping of cancer is recognized as a critical and challenging upstream task for personalized therapy. Existing deep learning methods have achieved significant performance in this domain when abundant data samples are available. However, t
Externí odkaz:
http://arxiv.org/abs/2412.13228
This paper presents the Task-Parameter Nexus (TPN), a learning-based approach for online determination of the (near-)optimal control parameters of model-based controllers (MBCs) for tracking tasks. In TPN, a deep neural network is introduced to predi
Externí odkaz:
http://arxiv.org/abs/2412.12448