Zobrazeno 1 - 10
of 56 268
pro vyhledávání: '"Yim IS"'
Autor:
Orsel, Ogulcan E., Noh, Jiho, Zhu, Penghao, Yim, Jieun, Hughes, Taylor L., Thomale, Ronny, Bahl, Gaurav
Asymmetric energy exchange interactions, also known as Hatano-Nelson type couplings, enable the study of non-Hermitian physics and associated phenomena like the non-Hermitian skin effect and exceptional points (EP). Since these interactions are by de
Externí odkaz:
http://arxiv.org/abs/2410.10079
Autor:
Chan, Chunkit, Jiayang, Cheng, Liu, Xin, Yim, Yauwai, Jiang, Yuxin, Deng, Zheye, Li, Haoran, Song, Yangqiu, Wong, Ginny Y., See, Simon
Debate is the process of exchanging viewpoints or convincing others on a particular issue. Recent research has provided empirical evidence that the persuasiveness of an argument is determined not only by language usage but also by communicator charac
Externí odkaz:
http://arxiv.org/abs/2410.04239
Large language models~(LLMs) have been adopted to process textual task description and accomplish procedural planning in embodied AI tasks because of their powerful reasoning ability. However, there is still lack of study on how vision language model
Externí odkaz:
http://arxiv.org/abs/2410.03907
Autor:
Lee, Chanhui, Jeong, Dae-Woong, Ko, Sung Moon, Lee, Sumin, Kim, Hyunseung, Yim, Soorin, Han, Sehui, Kim, Sungwoong, Lim, Sungbin
Publikováno v:
ICML2024-AI4Science Poster
Molecules have a number of distinct properties whose importance and application vary. Often, in reality, labels for some properties are hard to achieve despite their practical importance. A common solution to such data scarcity is to use models of go
Externí odkaz:
http://arxiv.org/abs/2410.00432
Autor:
Yim, Soorin, Jeong, Dae-Woong, Ko, Sung Moon, Lee, Sumin, Kim, Hyunseung, Lee, Chanhui, Han, Sehui
Training deep learning models on limited data while maintaining generalization is one of the fundamental challenges in molecular property prediction. One effective solution is transferring knowledge extracted from abundant datasets to those with scar
Externí odkaz:
http://arxiv.org/abs/2409.16645
This paper presents our experience with TREBLE, a two-year initiative to build the modular base in Android, a Java-based mobile platform running on the Linux kernel. Our TREBLE architecture splits the hardware independent core framework written in Ja
Externí odkaz:
http://arxiv.org/abs/2410.02809
Arboreal environments challenge current robots but are deftly traversed by many familiar animal locomotors such as squirrels. We present a small, 450 g robot "Pinto" developed for tree-jumping, a behavior seen in squirrels but rarely in legged robots
Externí odkaz:
http://arxiv.org/abs/2409.09203
Autor:
Cui, Jian, Kim, Hanna, Jang, Eugene, Yim, Dayeon, Kim, Kicheol, Lee, Yongjae, Chung, Jin-Woo, Shin, Seungwon, Liao, Xiaojing
Twitter is recognized as a crucial platform for the dissemination and gathering of Cyber Threat Intelligence (CTI). Its capability to provide real-time, actionable intelligence makes it an indispensable tool for detecting security events, helping sec
Externí odkaz:
http://arxiv.org/abs/2409.08221
Autor:
Yim, Joon-Hyeok, Gilbert, Anna C.
Publikováno v:
Advances in Neural Information Processing Systems (2023) 7263-7288
Building trees to represent or to fit distances is a critical component of phylogenetic analysis, metric embeddings, approximation algorithms, geometric graph neural nets, and the analysis of hierarchical data. Much of the previous algorithmic work,
Externí odkaz:
http://arxiv.org/abs/2409.01010
After the final stage of the merger of two black holes, the ringdown signal takes an important role on providing information about the gravitational dynamics in strong field. We introduce a novel time-domain (TD) approach, predicated on the $\mathcal
Externí odkaz:
http://arxiv.org/abs/2409.00970