Zobrazeno 1 - 10
of 406 309
pro vyhledávání: '"Moon, In"'
Autor:
Sun, Shaoqi, Lin, Qingyun, Li, Yihuan, Kozawa, Daichi, Wu, Huizhen, Maruyama, Shigeo, Moon, Pilkyung, Kariyado, Toshikaze, Kitaura, Ryo, Zhao, Sihan
The phenomena of pronounced electron-electron and electron-phonon interactions in one-dimensional (1D) systems are ubiquitous, which are well described by frameworks of Luttinger liquid, Peierls instability and concomitant charge density wave. Howeve
Externí odkaz:
http://arxiv.org/abs/2408.08596
Beyond the Transformer, it is important to explore how to exploit the capacity of the MetaFormer, an architecture that is fundamental to the performance improvements of the Transformer. Previous studies have exploited it only for the backbone network
Externí odkaz:
http://arxiv.org/abs/2408.07576
Autor:
Moon, Seungjae, Kim, Jung-Hoon, Kim, Junsoo, Hong, Seongmin, Cha, Junseo, Kim, Minsu, Lim, Sukbin, Choi, Gyubin, Seo, Dongjin, Kim, Jongho, Lee, Hunjong, Park, Hyunjun, Ko, Ryeowook, Choi, Soongyu, Park, Jongse, Lee, Jinwon, Kim, Joo-Young
The explosive arrival of OpenAI's ChatGPT has fueled the globalization of large language model (LLM), which consists of billions of pretrained parameters that embodies the aspects of syntax and semantics. HyperAccel introduces latency processing unit
Externí odkaz:
http://arxiv.org/abs/2408.07326
Autor:
Khan, Muhammad Tayyab, Feng, Wenhe, Chen, Lequn, Ng, Ye Han, Tan, Nicholas Yew Jin, Moon, Seung Ki
The integration of Computer-Aided Design (CAD), Computer-Aided Process Planning (CAPP), and Computer-Aided Manufacturing (CAM) plays a crucial role in modern manufacturing, facilitating seamless transitions from digital designs to physical products.
Externí odkaz:
http://arxiv.org/abs/2408.06891
Autor:
Moon, Taehong, Choi, Moonseok, Yun, EungGu, Yoon, Jongmin, Lee, Gayoung, Cho, Jaewoong, Lee, Juho
Diffusion models have shown remarkable performance in generation problems over various domains including images, videos, text, and audio. A practical bottleneck of diffusion models is their sampling speed, due to the repeated evaluation of score esti
Externí odkaz:
http://arxiv.org/abs/2408.05927
Autor:
Ni, Yuan Qi, Moon, Dae-Sik, Drout, Maria R., Lee, Youngdae, Sandoval, Patrick, Shin, Jeehye, Park, Hong Soo, Kim, Sang Chul, Oh, Kyuseok
We conduct a systematic analysis of the early multi-band light curves and colors of 19 Type Ia Supernovae (SNe) from the Korea Microlensing Telescope Network SN Program, including 16 previously unpublished events. Seven are detected $\lesssim$ 1 day
Externí odkaz:
http://arxiv.org/abs/2408.06287
Object re-identification (ReID) in large camera networks has many challenges. First, the similar appearances of objects degrade ReID performances. This challenge cannot be addressed by existing appearance-based ReID methods. Second, most ReID studies
Externí odkaz:
http://arxiv.org/abs/2408.05558
Various machine learning (ML)-based in-situ monitoring systems have been developed to detect laser additive manufacturing (LAM) process anomalies and defects. Multimodal fusion can improve in-situ monitoring performance by acquiring and integrating d
Externí odkaz:
http://arxiv.org/abs/2408.05307
Autor:
Li, Hao, Liu, Han, von Busch, Heinrich, Grimm, Robert, Huisman, Henkjan, Tong, Angela, Winkel, David, Penzkofer, Tobias, Shabunin, Ivan, Choi, Moon Hyung, Yang, Qingsong, Szolar, Dieter, Shea, Steven, Coakley, Fergus, Harisinghani, Mukesh, Oguz, Ipek, Comaniciu, Dorin, Kamen, Ali, Lou, Bin
Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised learning models in multi-site prostate lesion detection, especially when
Externí odkaz:
http://arxiv.org/abs/2408.04777
The advent of large language models has revolutionized natural language processing, but their increasing complexity has led to substantial training costs, resource demands, and environmental impacts. In response, sparse Mixture-of-Experts (MoE) model
Externí odkaz:
http://arxiv.org/abs/2408.04278