Zobrazeno 1 - 10
of 6 244
pro vyhledávání: '"XIA, Tian"'
Autor:
Xia, Tian-Ye, Shen, Juntai, Li, Zhi, Feng, Huaijin, Sjouwerman, Loránt O., Pihlström, Ylva M., Lewis, Megan O., Stroh, Michael C.
We introduce a novel method that utilizes the longitude-velocity (l-v) envelope to constrain the Milky Way (MW) bar potential. Previous work (Habing 2016) used the l-v diagram to explain the distribution of the observed high-velocity stars. We succes
Externí odkaz:
http://arxiv.org/abs/2410.05922
Autor:
Ma, Xiao-Ping, Zhang, Lu, Wang, Wen-Tao, Nie, Jing-Zhe, Tian, Huan-Fang, Wu, Shi-Long, Sun, Shuai-Shuai, Xia, Tian-Long, Li, Jun, Li, Jian-Qi, Yang, Huai-Xin
Employing aberration-corrected scanning transmission electron microscopy (STEM), we meticulously investigated the intrinsic chemical heterogeneity of Fe1+yTe, Fe1+yTe0.8Se0.2, and Fe1+yTe0.5Se0.5. Comprehensive analysis reveals the presence of inters
Externí odkaz:
http://arxiv.org/abs/2410.03121
Contrastive pretraining can substantially increase model generalisation and downstream performance. However, the quality of the learned representations is highly dependent on the data augmentation strategy applied to generate positive pairs. Positive
Externí odkaz:
http://arxiv.org/abs/2409.10365
Autor:
Peng, Wei, Xia, Tian, Ribeiro, Fabio De Sousa, Bosschieter, Tomas, Adeli, Ehsan, Zhao, Qingyu, Glocker, Ben, Pohl, Kilian M.
The number of samples in structural brain MRI studies is often too small to properly train deep learning models. Generative models show promise in addressing this issue by effectively learning the data distribution and generating high-fidelity MRI. H
Externí odkaz:
http://arxiv.org/abs/2409.05585
Alignment approaches such as RLHF and DPO are actively investigated to align large language models (LLMs) with human preferences. Commercial large language models (LLMs) like GPT-4 have been recently employed to evaluate and compare different LLM ali
Externí odkaz:
http://arxiv.org/abs/2408.13006
Autor:
Lin, Tianyun, Ju, Yongkang, Zhong, Haoyuan, Zeng, Xiangyu, Dong, Xue, Bao, Changhua, Zhang, Hongyun, Xia, Tian-Long, Tang, Peizhe, Zhou, Shuyun
Topological Dirac nodal-line semimetals host topologically nontrivial electronic structure with nodal-line crossings around the Fermi level, which could affect the photocarrier dynamics and lead to novel relaxation mechanisms. Herein, by using time-
Externí odkaz:
http://arxiv.org/abs/2405.11901
Autor:
Wang, Fei, Lu, Kannan, Zhan, Huijuan, Ma, Lu, Wu, Feng, Sun, Hantao, Deng, Hao, Bai, Yang, Bao, Feng, Chang, Xu, Gao, Ran, Gao, Xun, Gong, Guicheng, Hu, Lijuan, Hu, Ruizi, Ji, Honghong, Ma, Xizheng, Mao, Liyong, Song, Zhijun, Tang, Chengchun, Wang, Hongcheng, Wang, Tenghui, Wang, Ziang, Xia, Tian, Xu, Hongxin, Zhan, Ze, Zhang, Gengyan, Zhou, Tao, Zhu, Mengyu, Zhu, Qingbin, Zhu, Shasha, Zhu, Xing, Shi, Yaoyun, Zhao, Hui-Hai, Deng, Chunqing
Fluxonium qubits are recognized for their high coherence times and high operation fidelities, attributed to their unique design incorporating over 100 Josephson junctions per superconducting loop. However, this complexity poses significant fabricatio
Externí odkaz:
http://arxiv.org/abs/2405.05481
Causal generative modelling is gaining interest in medical imaging due to its ability to answer interventional and counterfactual queries. Most work focuses on generating counterfactual images that look plausible, using auxiliary classifiers to enfor
Externí odkaz:
http://arxiv.org/abs/2403.09422
Contrastive pretraining is well-known to improve downstream task performance and model generalisation, especially in limited label settings. However, it is sensitive to the choice of augmentation pipeline. Positive pairs should preserve semantic info
Externí odkaz:
http://arxiv.org/abs/2403.09605
Video Diffusion Models have been developed for video generation, usually integrating text and image conditioning to enhance control over the generated content. Despite the progress, ensuring consistency across frames remains a challenge, particularly
Externí odkaz:
http://arxiv.org/abs/2403.02332