Zobrazeno 1 - 10
of 8 516
pro vyhledávání: '"An, Seunghwan"'
Autor:
Baker, William M., Lim, Seunghwan, D'Eugenio, Francesco, Maiolino, Roberto, Ji, Zhiyuan, Arribas, Santiago, Bunker, Andrew J., Carniani, Stefano, Charlot, Stephane, de Graaff, Anna, Hainline, Kevin, Looser, Tobias J., Lyu, Jianwei, Rinaldi, Pierluigi, Robertson, Brant, Schaller, Matthieu, Schaye, Joop, Scholtz, Jan, Ubler, Hannah, Williams, Christina C., Willmer, Christopher N. A., Willott, Chris, Zhu, Yongda
We use NIRSpec/MSA spectroscopy and NIRCam imaging to study a sample of 18 massive ($\log\; M_{*}/M_{\odot} \gt 10\;$dex), central quiescent galaxies at $2\leq z \leq 5$ in the GOODS fields, to investigate their number density, star-formation histori
Externí odkaz:
http://arxiv.org/abs/2410.14773
Autor:
Turner, Crispin, Tacchella, Sandro, D'Eugenio, Francesco, Carniani, Stefano, Curti, Mirko, Glazebrook, Karl, Johnson, Benjamin D., Lim, Seunghwan, Looser, Tobias, Maiolino, Roberto, Nanayakkara, Themiya, Wan, Jenny T.
We present a detailed analysis of JWST/NIRSpec and NIRCam observations of ZF-UDS-7329, a massive, quiescent galaxy at redshift $z=3.2$, which has been put forward to challenge cosmology and galaxy formation physics. Our study extends previous works b
Externí odkaz:
http://arxiv.org/abs/2410.05377
Traditional network management algorithms have relied on prior knowledge of system models and networking scenarios. In practice, a universal optimization framework is desirable where a sole optimization module can be readily applied to arbitrary netw
Externí odkaz:
http://arxiv.org/abs/2410.17259
Reliable perception of targets is crucial for the stable operation of autonomous robots. A widely preferred method is keypoint identification in an image, as it allows direct mapping from raw images to 2D coordinates, facilitating integration with ot
Externí odkaz:
http://arxiv.org/abs/2410.00521
Text-to-SQL systems have become crucial for translating natural language into SQL queries in various industries, enabling non-technical users to perform complex data operations. The need for accurate evaluation methods has increased as these systems
Externí odkaz:
http://arxiv.org/abs/2409.19014
Autor:
Kim, Seunghwan, Lee, Seungkyu
Variational autoencoder (VAE) is an established generative model but is notorious for its blurriness. In this work, we investigate the blurry output problem of VAE and resolve it, exploiting the variance of Gaussian decoder and $\beta$ of beta-VAE. S
Externí odkaz:
http://arxiv.org/abs/2409.09361
The advent of computational and numerical methods in recent times has provided new avenues for analyzing art historiographical narratives and tracing the evolution of art styles therein. Here, we investigate an evolutionary process underpinning the e
Externí odkaz:
http://arxiv.org/abs/2408.10356
Autor:
Brattoli, Biagio, Mostafavi, Mohammad, Lee, Taebum, Jung, Wonkyung, Ryu, Jeongun, Park, Seonwook, Park, Jongchan, Pereira, Sergio, Shin, Seunghwan, Choi, Sangjoon, Kim, Hyojin, Yoo, Donggeun, Ali, Siraj M., Paeng, Kyunghyun, Ock, Chan-Young, Cho, Soo Ick, Kim, Seokhwi
Despite advancements in methodologies, immunohistochemistry (IHC) remains the most utilized ancillary test for histopathologic and companion diagnostics in targeted therapies. However, objective IHC assessment poses challenges. Artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2407.20643
Autor:
An, Seunghwan, Woo, Gyeongdong, Lim, Jaesung, Kim, ChangHyun, Hong, Sungchul, Jeon, Jong-June
In this paper, our goal is to generate synthetic data for heterogeneous (mixed-type) tabular datasets with high machine learning utility (MLu). Since the MLu performance depends on accurately approximating the conditional distributions, we focus on d
Externí odkaz:
http://arxiv.org/abs/2405.20602
Recent advances in a generative neural network model extend the development of data augmentation methods. However, the augmentation methods based on the modern generative models fail to achieve notable performance for class imbalance data compared to
Externí odkaz:
http://arxiv.org/abs/2405.19757