Zobrazeno 1 - 10
of 2 796
pro vyhledávání: '"An, Sihyun"'
Autor:
Yu, Sihyun, Kwak, Sangkyung, Jang, Huiwon, Jeong, Jongheon, Huang, Jonathan, Shin, Jinwoo, Xie, Saining
Recent studies have shown that the denoising process in (generative) diffusion models can induce meaningful (discriminative) representations inside the model, though the quality of these representations still lags behind those learned through recent
Externí odkaz:
http://arxiv.org/abs/2410.06940
Autor:
Koo, Dowan, Song, Sihyun
We establish global existence of mild solutions to the BGK model proposed by Bouchut [J. Stat. Phys., 95, (1999), 113--170] under the minimal assumption of finite kinetic entropy initial data. Moreover we rigorously derive a kinetic entropy inequalit
Externí odkaz:
http://arxiv.org/abs/2409.04129
Developing an effective molecular generation framework even with a limited number of molecules is often important for its practical deployment, e.g., drug discovery, since acquiring task-related molecular data requires expensive and time-consuming ex
Externí odkaz:
http://arxiv.org/abs/2405.02845
Video diffusion models have recently made great progress in generation quality, but are still limited by the high memory and computational requirements. This is because current video diffusion models often attempt to process high-dimensional videos d
Externí odkaz:
http://arxiv.org/abs/2403.14148
Human interactions are deeply rooted in the interplay of thoughts, beliefs, and desires made possible by Theory of Mind (ToM): our cognitive ability to understand the mental states of ourselves and others. Although ToM may come naturally to us, emula
Externí odkaz:
http://arxiv.org/abs/2311.10227
In practical scenarios where training data is limited, many predictive signals in the data can be rather from some biases in data acquisition (i.e., less generalizable), so that one cannot prevent a model from co-adapting on such (so-called) "shortcu
Externí odkaz:
http://arxiv.org/abs/2303.14096
Autor:
Yeon Jun Kang, Woorim Song, Su Jeong Lee, Seung Ah Choi, Sihyun Chae, Bo Ruem Yoon, Hee Young Kim, Jung Ho Lee, Chulwoo Kim, Joo-Youn Cho, Hyun Je Kim, Won-Woo Lee
Publikováno v:
Experimental and Molecular Medicine, Vol 56, Iss 8, Pp 1776-1790 (2024)
Abstract Branched-chain amino acids (BCAAs), particularly leucine, are indispensable AAs for immune regulation through metabolic rewiring. However, the molecular mechanism underlying this phenomenon remains unclear. Our investigation revealed that T-
Externí odkaz:
https://doaj.org/article/b4e53a082b53482fac20f35f352142b7
Autor:
Yuwen Wei, Priyanuj Bhuyan, Suk Jin Kwon, Sihyun Kim, Yejin Bae, Mukesh Singh, Duy Thanh Tran, Minjeong Ha, Kwang-Un Jeong, Xing Ma, Byeongjin Park, Sungjune Park
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-13 (2024)
Multiple internal reflection-based absorption-dominant stretchable electromagnetic shielding thin film by incorporating liquid metal grid structure is developed. The device demonstrates high electromagnetic shielding effectiveness (SE) (SET of up to
Externí odkaz:
https://doaj.org/article/b1e2e9f58d8f4ae3a95e4ffd923cdd90
Despite the remarkable progress in deep generative models, synthesizing high-resolution and temporally coherent videos still remains a challenge due to their high-dimensionality and complex temporal dynamics along with large spatial variations. Recen
Externí odkaz:
http://arxiv.org/abs/2302.07685
We introduce an efficient optimization-based meta-learning technique for large-scale neural field training by realizing significant memory savings through automated online context point selection. This is achieved by focusing each learning step on th
Externí odkaz:
http://arxiv.org/abs/2302.00617