Zobrazeno 1 - 10
of 5 182
pro vyhledávání: '"Lim, Sung In"'
Spiking neural networks (SNNs) are powerful models of spatiotemporal computation and are well suited for deployment on resource-constrained edge devices and neuromorphic hardware due to their low power consumption. Leveraging attention mechanisms sim
Externí odkaz:
http://arxiv.org/abs/2411.07397
Autor:
Seo, Daewon, Lim, Sung Hoon
In this work, we take the initiative in studying the information-theoretic tradeoff between communication and quickest change detection (QCD) under an integrated sensing and communication setting. We formally establish a joint communication and sensi
Externí odkaz:
http://arxiv.org/abs/2401.12499
Publikováno v:
JHEP 07 (2024) 146
Recent advancements in deep learning models have significantly enhanced jet classification performance by analyzing low-level features (LLFs). However, this approach often leads to less interpretable models, emphasizing the need to understand the dec
Externí odkaz:
http://arxiv.org/abs/2312.11760
Autor:
Kim, Junu, Shim, Chaeeun, Yang, Bosco Seong Kyu, Im, Chami, Lim, Sung Yoon, Jeong, Han-Gil, Choi, Edward
Publikováno v:
Machine Learning for Healthcare Conference 2024
Machine learning (ML) has recently shown promising results in medical predictions using electronic health records (EHRs). However, since ML models typically have a limited capability in terms of input sizes, selecting specific medical events from EHR
Externí odkaz:
http://arxiv.org/abs/2310.20204
In many sensor network applications, a fusion center often has additional valuable information, such as context data, which cannot be obtained directly from the sensors. Motivated by this, we study a generalized CEO problem where a CEO has access to
Externí odkaz:
http://arxiv.org/abs/2310.02537
We present a novel, data-driven analysis of Galactic dynamics, using unsupervised machine learning -- in the form of density estimation with normalizing flows -- to learn the underlying phase space distribution of 6 million nearby stars from the Gaia
Externí odkaz:
http://arxiv.org/abs/2305.13358
Publikováno v:
Annals of Intensive Care. 10/16/2024, Vol. 14 Issue 1, p1-13. 13p.
Autor:
Lim, Sung Hee1 (AUTHOR), Kim, Min Jung1 (AUTHOR), Lee, Jeeyun1 (AUTHOR) sunghee1022.lim@samsung.com, Lim, Ho Yeong1 (AUTHOR), Kang, Won Ki1 (AUTHOR), Kim, Seung Tae1 (AUTHOR) seungtae1.kim@samsung.com
Publikováno v:
Cancers. Sep2024, Vol. 16 Issue 17, p2969. 9p.
Publikováno v:
Monthly Notices of the Royal Astronomical Society, Volume 533, Issue 1, September 2024, Pages 143-164
Cosmological N-body simulations of galaxies operate at the level of "star particles" with a mass resolution on the scale of thousands of solar masses. Turning these simulations into stellar mock catalogs requires "upsampling" the star particles into
Externí odkaz:
http://arxiv.org/abs/2211.11765
Measuring the density profile of dark matter in the Solar neighborhood has important implications for both dark matter theory and experiment. In this work, we apply autoregressive flows to stars from a realistic simulation of a Milky Way-type galaxy
Externí odkaz:
http://arxiv.org/abs/2205.01129