Zobrazeno 1 - 10
of 277 827
pro vyhledávání: '"Sung, P"'
Autor:
Wang, Bingran, Kim, Min Sung, Yoon, Taewoong, Lee, Dasom, Kim, Byeong-Sang, Sung, Dougyong, Hwang, John T.
Careful design of semiconductor manufacturing equipment is crucial for ensuring the performance, yield, and reliability of semiconductor devices. Despite this, numerical optimization methods are seldom applied to optimize the design of such equipment
Externí odkaz:
http://arxiv.org/abs/2411.08149
Autor:
Chen, Deming, Youssef, Alaa, Pendse, Ruchi, Schleife, André, Clark, Bryan K., Hamann, Hendrik, He, Jingrui, Laino, Teodoro, Varshney, Lav, Wang, Yuxiong, Sil, Avirup, Jabbarvand, Reyhaneh, Xu, Tianyin, Kindratenko, Volodymyr, Costa, Carlos, Adve, Sarita, Mendis, Charith, Zhang, Minjia, Núñez-Corrales, Santiago, Ganti, Raghu, Srivatsa, Mudhakar, Kim, Nam Sung, Torrellas, Josep, Huang, Jian, Seelam, Seetharami, Nahrstedt, Klara, Abdelzaher, Tarek, Eilam, Tamar, Zhao, Huimin, Manica, Matteo, Iyer, Ravishankar, Hirzel, Martin, Adve, Vikram, Marinov, Darko, Franke, Hubertus, Tong, Hanghang, Ainsworth, Elizabeth, Zhao, Han, Vasisht, Deepak, Do, Minh, Oliveira, Fabio, Pacifici, Giovanni, Puri, Ruchir, Nagpurkar, Priya
This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet the growing complexity of AI workloads through innovative, full-stack co
Externí odkaz:
http://arxiv.org/abs/2411.13239
In this paper we formulate the almost invariant subspaces theorems of backward shift operators in terms of the ranges or kernels of product of Toeplitz and Hankel operators. This approach simplifies and gives more explicit forms of these almost invar
Externí odkaz:
http://arxiv.org/abs/2411.13177
Domain generalizable person re-identification (DG re-ID) aims to learn discriminative representations that are robust to distributional shifts. While data augmentation is a straightforward solution to improve generalization, certain augmentations exh
Externí odkaz:
http://arxiv.org/abs/2411.11471
Autor:
Ginting, Muhammad Fadhil, Kim, Dong-Ki, Kim, Sung-Kyun, Krishna, Bandi Jai, Kochenderfer, Mykel J., Omidshafiei, Shayegan, Agha-mohammadi, Ali-akbar
This paper addresses the problem of task planning for robots that must comply with operational manuals in real-world settings. Task planning under these constraints is essential for enabling autonomous robot operation in domains that require adherenc
Externí odkaz:
http://arxiv.org/abs/2411.11323
Autor:
Cui, Can, Yang, Zichong, Zhou, Yupeng, Peng, Juntong, Park, Sung-Yeon, Zhang, Cong, Ma, Yunsheng, Cao, Xu, Ye, Wenqian, Feng, Yiheng, Panchal, Jitesh, Li, Lingxi, Chen, Yaobin, Wang, Ziran
Personalized driving refers to an autonomous vehicle's ability to adapt its driving behavior or control strategies to match individual users' preferences and driving styles while maintaining safety and comfort standards. However, existing works eithe
Externí odkaz:
http://arxiv.org/abs/2411.11913
In many condensed matter systems, long range order emerges at low temperatures as thermal fluctuations subside. In the presence of competing interactions or quenched disorder, however, some systems can show unusual configurations that become more dis
Externí odkaz:
http://arxiv.org/abs/2411.10445
Autor:
Park, Joon Sung, Zou, Carolyn Q., Shaw, Aaron, Hill, Benjamin Mako, Cai, Carrie, Morris, Meredith Ringel, Willer, Robb, Liang, Percy, Bernstein, Michael S.
The promise of human behavioral simulation--general-purpose computational agents that replicate human behavior across domains--could enable broad applications in policymaking and social science. We present a novel agent architecture that simulates th
Externí odkaz:
http://arxiv.org/abs/2411.10109
Autor:
Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Rehman, Abd Ur, Gho, Sung-Min, Lee, Aleum, Khan, Tariq M., Razzak, Imran
Despite advances in deep learning for estimating brain age from structural MRI data, incorporating functional MRI data is challenging due to its complex structure and the noisy nature of functional connectivity measurements. To address this, we prese
Externí odkaz:
http://arxiv.org/abs/2411.10100
Publikováno v:
IEEE Journal of Biomedical and Health Informatics (2024)
Electroencephalography (EEG) plays a crucial role in the diagnosis of various neurological disorders. However, small hospitals and clinics often lack advanced EEG signal analysis systems and are prone to misinterpretation in manual EEG reading. This
Externí odkaz:
http://arxiv.org/abs/2411.09874