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of 1 495
pro vyhledávání: '"KIM, YOUNGHOON"'
Modern large language models (LLMs) have established state-of-the-art performance through architectural improvements, but still require significant computational cost for inference. In an effort to reduce the inference cost, post-training quantizatio
Externí odkaz:
http://arxiv.org/abs/2405.14428
Autor:
Fisher, Zachary F., Kim, Younghoon, Pipiras, Vladas, Crawford, Christopher, Petrie, Daniel J., Hunter, Michael D., Geier, Charles F.
How best to model structurally heterogeneous processes is a foundational question in the social, health and behavioral sciences. Recently, Fisher et al., (2022) introduced the multi-VAR approach for simultaneously estimating multiple-subject multivar
Externí odkaz:
http://arxiv.org/abs/2311.08658
Autor:
Choi, Junggu, Kim, Kion, Park, Soohyun, Hur, Juyoen, Yang, Hyunjung, Kim, Younghoon, Lee, Hakbae, Han, Sanghoon
Diverse cases regarding the impact, with its related factors, of the COVID-19 pandemic on mental health have been reported in previous studies. College student groups have been frequently selected as the target population in previous studies because
Externí odkaz:
http://arxiv.org/abs/2310.00018
This work introduces a novel framework for dynamic factor model-based group-level analysis of multiple subjects time series data, called GRoup Integrative DYnamic factor (GRIDY) models. The framework identifies and characterizes inter-subject similar
Externí odkaz:
http://arxiv.org/abs/2307.15330
This work considers estimation and forecasting in a multivariate, possibly high-dimensional count time series model constructed from a transformation of a latent Gaussian dynamic factor series. The estimation of the latent model parameters is based o
Externí odkaz:
http://arxiv.org/abs/2307.10454
Neural networks have complex structures, and thus it is hard to understand their inner workings and ensure correctness. To understand and debug convolutional neural networks (CNNs) we propose techniques for testing the channels of CNNs. We design FtG
Externí odkaz:
http://arxiv.org/abs/2303.03400
Early detection of cancers has been much explored due to its paramount importance in biomedical fields. Among different types of data used to answer this biological question, studies based on T cell receptors (TCRs) are under recent spotlight due to
Externí odkaz:
http://arxiv.org/abs/2208.04524
Autor:
You, Sang-Mook, Kang, Dong-Gook, Choi, June-Ho, Kim, Younghoon, Jang, Hyeon Soo, Jung, Chan-Duck, Seong, Hyolin, Kim, Young-Rok, Cha, Hyun Gil, Kim, Hoyong
Publikováno v:
In International Journal of Biological Macromolecules November 2024 281 Part 4
Autor:
Yang, Hyekyung, Park, Miey, Lee, Ji Hye, Kim, Bokyoung, Moon, Chang Sang, Bae, Suyeal, Kim, Younghoon, Lee, Hae-Jeung, Park, Cheol-Young
Publikováno v:
In Biomedicine & Pharmacotherapy November 2024 180
Publikováno v:
In Materials Science & Engineering A November 2024 914