Zobrazeno 1 - 10
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pro vyhledávání: '"Hsieh AT"'
Flying quadrotors in tight formations is a challenging problem. It is known that in the near-field airflow of a quadrotor, the aerodynamic effects induced by the propellers are complex and difficult to characterize. Although machine learning tools ca
Externí odkaz:
http://arxiv.org/abs/2410.09727
Autor:
Lai, C. H., Hsieh, M. -J., Puri, N., Chen, Yiing-Rei, Wang, J. K., Liang, Y. H., Yano, Shin-ichiro, Du, C. -H., Huang, C. L., Lin, J. -Y.
The copper metaborate CuB2O4 (CBO) has been studied within the parametric space of magnetic field (B) and temperature (T), showing a series of distinct phases, including commensurate and incommensurate magnetic orders, as well as magnetic soliton pha
Externí odkaz:
http://arxiv.org/abs/2412.12424
In a Bell test involving three parties, one may find a curious situation where the nonlocality in two bipartite subsystems forces the remaining bipartite subsystem to exhibit nonlocality. Post-quantum examples for this phenomenon, dubbed nonlocality
Externí odkaz:
http://arxiv.org/abs/2412.10505
Autor:
Wang, Tianyang, Bi, Ziqian, Zhang, Yichao, Liu, Ming, Hsieh, Weiche, Feng, Pohsun, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Chen, Keyu, Zhang, Sen, Li, Ming, Jiang, Chuanqi, Song, Xinyuan, Yang, Junjie, Jing, Bowen, Ren, Jintao, Song, Junhao, Tseng, Hong-Ming, Chen, Silin, Wang, Yunze, Liang, Chia Xin, Xu, Jiawei, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
Deep learning has transformed AI applications but faces critical security challenges, including adversarial attacks, data poisoning, model theft, and privacy leakage. This survey examines these vulnerabilities, detailing their mechanisms and impact o
Externí odkaz:
http://arxiv.org/abs/2412.08969
Autor:
Seligman, Darryl Z., Farnocchia, Davide, Micheli, Marco, Hainaut, Olivier R., Hsieh, Henry H., Feinstein, Adina D., Chesley, Steven R., Taylor, Aster G., Masiero, Joseph, Meech, Karen J.
Publikováno v:
Proc. Natl. Acad. Sci., 121, 2024
Small bodies are capable of delivering essential prerequisites for the development of life, such as volatiles and organics, to the terrestrial planets. For example, empirical evidence suggests that water was delivered to the Earth by hydrated planete
Externí odkaz:
http://arxiv.org/abs/2412.07603
In the peer review process of top-tier machine learning (ML) and artificial intelligence (AI) conferences, reviewers are assigned to papers through automated methods. These assignment algorithms consider two main factors: (1) reviewers' expressed int
Externí odkaz:
http://arxiv.org/abs/2412.06606
Autor:
Liu, Zhijian, Zhu, Ligeng, Shi, Baifeng, Zhang, Zhuoyang, Lou, Yuming, Yang, Shang, Xi, Haocheng, Cao, Shiyi, Gu, Yuxian, Li, Dacheng, Li, Xiuyu, Fang, Yunhao, Chen, Yukang, Hsieh, Cheng-Yu, Huang, De-An, Cheng, An-Chieh, Nath, Vishwesh, Hu, Jinyi, Liu, Sifei, Krishna, Ranjay, Xu, Daguang, Wang, Xiaolong, Molchanov, Pavlo, Kautz, Jan, Yin, Hongxu, Han, Song, Lu, Yao
Visual language models (VLMs) have made significant advances in accuracy in recent years. However, their efficiency has received much less attention. This paper introduces NVILA, a family of open VLMs designed to optimize both efficiency and accuracy
Externí odkaz:
http://arxiv.org/abs/2412.04468
In the game development process, creating character animations is a vital step that involves several stages. Typically for 2D games, illustrators begin by designing the main character image, which serves as the foundation for all subsequent animation
Externí odkaz:
http://arxiv.org/abs/2412.03685
Autor:
Bigverdi, Mahtab, Luo, Zelun, Hsieh, Cheng-Yu, Shen, Ethan, Chen, Dongping, Shapiro, Linda G., Krishna, Ranjay
Multimodal language models (MLMs) still face challenges in fundamental visual perception tasks where specialized models excel. Tasks requiring reasoning about 3D structures benefit from depth estimation, and reasoning about 2D object instances benefi
Externí odkaz:
http://arxiv.org/abs/2412.03548
In recent years, many neural network (NN) verifiers have been developed to formally verify certain properties of neural networks such as robustness. Although many benchmarks have been constructed to evaluate the performance of NN verifiers, they typi
Externí odkaz:
http://arxiv.org/abs/2412.03154