Zobrazeno 1 - 10
of 6 668
pro vyhledávání: '"Park, Su A"'
Autor:
Park, Su-Chan
We seek for the physical implication of principal component analysis (PCA) applied to lattice systems with phase transitions, especially when the system is translationally invariant. We present a general approximate formula for a principal component
Externí odkaz:
http://arxiv.org/abs/2410.22682
Autor:
Park, Su-Chan, Park, Hyunggyu
Publikováno v:
Phys. Rev. E 110 (2024) 034216
The asymptotic scaling behavior of the Kuramoto model with finite populations has been notably elusive, despite comprehensive investigations employing both analytical and numerical methods. In this paper, we explore the Kuramoto model with ``determin
Externí odkaz:
http://arxiv.org/abs/2406.18904
Transformers have excelled in many tasks including vision. However, efficient deployment of transformer models in low-latency or high-throughput applications is hindered by the computation in the attention mechanism which involves expensive operation
Externí odkaz:
http://arxiv.org/abs/2406.07488
Autor:
Bao, Yujia, Shah, Ankit Parag, Narang, Neeru, Rivers, Jonathan, Maksey, Rajeev, Guan, Lan, Barrere, Louise N., Evenson, Shelley, Basole, Rahul, Miao, Connie, Mehta, Ankit, Boulay, Fabien, Park, Su Min, Pearson, Natalie E., Joy, Eldhose, He, Tiger, Thakur, Sumiran, Ghosal, Koustav, On, Josh, Morrison, Phoebe, Major, Tim, Wang, Eva Siqi, Escobar, Gina, Wei, Jiaheng, Weerasooriya, Tharindu Cyril, Song, Queena, Lashkevich, Daria, Chen, Clare, Kim, Gyuhak, Yin, Dengpan, Hejna, Don, Nomeli, Mo, Wei, Wei
This paper introduces Fortune Analytics Language Model (FALM). FALM empowers users with direct access to comprehensive business analysis, including market trends, company performance metrics, and expert insights. Unlike generic LLMs, FALM leverages a
Externí odkaz:
http://arxiv.org/abs/2406.06559
This paper presents a novel learning approach for Dubins Traveling Salesman Problems(DTSP) with Neighborhood (DTSPN) to quickly produce a tour of a non-holonomic vehicle passing through neighborhoods of given task points. The method involves two lear
Externí odkaz:
http://arxiv.org/abs/2404.16721
Transformer models have shown great potential in computer vision, following their success in language tasks. Swin Transformer is one of them that outperforms convolution-based architectures in terms of accuracy, while improving efficiency when compar
Externí odkaz:
http://arxiv.org/abs/2306.13776
We investigate two stochastic models of a growing population subject to selection and mutation. In our models each individual carries a fitness which determines its mean offspring number. Many of these offspring inherit their parent's fitness, but so
Externí odkaz:
http://arxiv.org/abs/2212.02631
Autor:
Lee, Bong Eun1,2 (AUTHOR), Park, Su Jin2 (AUTHOR), Kim, Gwang Ha1,2 (AUTHOR) doc0224@pusan.ac.kr, Joo, Dong Chan1,2 (AUTHOR), Lee, Moon Won1,2 (AUTHOR)
Publikováno v:
PLoS ONE. 11/5/2024, Vol. 19 Issue 11, p1-12. 12p.
Autor:
NamKung, Hyun1 (AUTHOR), Park, Su‐Min1,2 (AUTHOR), Im, Jae‐Hyeon1 (AUTHOR), Lim, Ga‐Hyun1 (AUTHOR), Ryu, Min‐Ok1 (AUTHOR), Seo, Kyoung‐Won1 (AUTHOR), Youn, Hwa‐Young1 (AUTHOR) hyyoun@snu.ac.kr
Publikováno v:
Veterinary Medicine & Science. Sep2024, Vol. 10 Issue 5, p1-7. 7p.
Transformer and its variants have shown state-of-the-art results in many vision tasks recently, ranging from image classification to dense prediction. Despite of their success, limited work has been reported on improving the model efficiency for depl
Externí odkaz:
http://arxiv.org/abs/2204.13791