Zobrazeno 1 - 10
of 7 898
pro vyhledávání: '"Jang, Hyun"'
In Special Relativity, massless objects are characterized as either vacuum states or as radiation propagating at the speed of light. This distinction extends to General Relativity for asymptotically flat initial data sets (IDS) \((M^n, g, k)\), where
Externí odkaz:
http://arxiv.org/abs/2411.07357
Autor:
Jang, Hyun-June, Joung, Hyou-Arm, Shi, Xiaoao, Ding, Rui, Wagner, Justine, Tang, Erting, Zhuang, Wen, Ryu, Byunghoon, Chen, Guanmin, Yeo, Kiang-Teck Jerry, Huang, Jun, Chen, Junhong
To meet the growing demand for accurate, rapid, and cost-effective at-home clinical testing, we developed a radical-mediated enzyme assay (REEA) integrated with a paper fluidic system and electrically read by a handheld field-effect transistor (FET)
Externí odkaz:
http://arxiv.org/abs/2411.03111
Semantic Scene Completion (SSC) aims to perform geometric completion and semantic segmentation simultaneously. Despite the promising results achieved by existing studies, the inherently ill-posed nature of the task presents significant challenges in
Externí odkaz:
http://arxiv.org/abs/2410.15674
The analysis of biophysical neural networks (BNNs) has been a longstanding focus in computational neuroscience. A central yet unresolved challenge in BNN analysis lies in deciphering the correlations between neuronal and synaptic dynamics, their conn
Externí odkaz:
http://arxiv.org/abs/2410.11503
Autor:
Jang, Hyun Chul
Let $(M,g_0)$ be a closed oriented $n$-manifold that is locally isometric to a product $(X^{n_1}_1,g_1)\times\cdots (X_k^{n_k},g_k)$, where each $n_i\ge 3,$ and each factor $(X_i^{n_i},g_i)$ is a negatively curved symmetric space. We study the stabil
Externí odkaz:
http://arxiv.org/abs/2410.10982
Autor:
Sun, Seungjong, Lee, Eungu, Baek, Seo Yeon, Hwang, Seunghyun, Lee, Wonbyung, Nan, Dongyan, Jansen, Bernard J., Kim, Jang Hyun
This study is the first to explore whether multi-modal large language models (LLMs) can align their behaviors with visual personas, addressing a significant gap in the literature that predominantly focuses on text-based personas. We developed a novel
Externí odkaz:
http://arxiv.org/abs/2410.03181
Novel view synthesis (NVS) aims to generate images at arbitrary viewpoints using multi-view images, and recent insights from neural radiance fields (NeRF) have contributed to remarkable improvements. Recently, studies on generalizable NeRF (G-NeRF) h
Externí odkaz:
http://arxiv.org/abs/2410.00672
We propose a novel machine learning approach for inferring causal variables of a target variable from observations. Our goal is to identify both direct and indirect causes within a system, thereby efficiently regulating the target variable when the d
Externí odkaz:
http://arxiv.org/abs/2408.16218
Autor:
Jeong, Dayena, Park, Jaewoo, Jo, Jeonghee, Park, Jongkil, Kim, Jaewook, Jang, Hyun Jae, Lee, Suyoun, Park, Seongsik
Recent deep neural networks (DNNs), such as diffusion models [1], have faced high computational demands. Thus, spiking neural networks (SNNs) have attracted lots of attention as energy-efficient neural networks. However, conventional spiking neurons,
Externí odkaz:
http://arxiv.org/abs/2409.00044
Autor:
Fang, Yunhao, Zhu, Ligeng, Lu, Yao, Wang, Yan, Molchanov, Pavlo, Kautz, Jan, Cho, Jang Hyun, Pavone, Marco, Han, Song, Yin, Hongxu
While visual language model architectures and training infrastructures advance rapidly, data curation remains under-explored where quantity and quality become a bottleneck. Existing work either crawls extra Internet data with a loose guarantee of qua
Externí odkaz:
http://arxiv.org/abs/2407.17453