Zobrazeno 1 - 10
of 91 406
pro vyhledávání: '"Kim, Young In"'
Autor:
Zheng, Xinyuan, Ravid, Orren, Barry, Robert A. J., Kim, Yoojean, Wang, Qian, Kim, Young-geun, Zhu, Xi, He, Xiaofu
Autism spectrum disorders (ASDs) are developmental conditions characterized by restricted interests and difficulties in communication. The complexity of ASD has resulted in a deficiency of objective diagnostic biomarkers. Deep learning methods have g
Externí odkaz:
http://arxiv.org/abs/2410.00068
In robotic task planning, symbolic planners using rule-based representations like PDDL are effective but struggle with long-sequential tasks in complicated planning environments due to exponentially increasing search space. Recently, Large Language M
Externí odkaz:
http://arxiv.org/abs/2409.19250
We explore how interactions inspired by drawing software can help edit text. Making an analogy between visual and text editing, we consider words as pixels, sentences as regions, and tones as colours. For instance, direct manipulations move, shorten,
Externí odkaz:
http://arxiv.org/abs/2409.17088
Intra-cardiac Echocardiography (ICE) is a crucial imaging modality used in electrophysiology (EP) and structural heart disease (SHD) interventions, providing real-time, high-resolution views from within the heart. Despite its advantages, effective ma
Externí odkaz:
http://arxiv.org/abs/2409.16898
We consider the problem of finding the ``best'' approximation of an $n$-dimensional probability measure $\rho$ using a measure $\nu$ whose support is parametrized by $f : \mathbb{R}^m \to \mathbb{R}^n$ where $m < n$. We quantify the performance of th
Externí odkaz:
http://arxiv.org/abs/2409.16541
Autor:
Liu, Liyuan, Kim, Young Jin, Wang, Shuohang, Liang, Chen, Shen, Yelong, Cheng, Hao, Liu, Xiaodong, Tanaka, Masahiro, Wu, Xiaoxia, Hu, Wenxiang, Chaudhary, Vishrav, Lin, Zeqi, Zhang, Chenruidong, Xue, Jilong, Awadalla, Hany, Gao, Jianfeng, Chen, Weizhu
Mixture-of-Experts (MoE) models scale more effectively than dense models due to sparse computation through expert routing, selectively activating only a small subset of expert modules. However, sparse computation challenges traditional training pract
Externí odkaz:
http://arxiv.org/abs/2409.12136
d/Deaf and hearing song-signers become prevalent on video-sharing platforms, but translating songs into sign language remains cumbersome and inaccessible. Our formative study revealed the challenges song-signers face, including semantic, syntactic, e
Externí odkaz:
http://arxiv.org/abs/2409.09760
As minimally verbal autistic (MVA) children communicate with parents through few words and nonverbal cues, parents often struggle to encourage their children to express subtle emotions and needs and to grasp their nuanced signals. We present AACessTa
Externí odkaz:
http://arxiv.org/abs/2409.09641
Autor:
Song, Inhwa, Park, SoHyun, Pendse, Sachin R., Schleider, Jessica Lee, De Choudhury, Munmun, Kim, Young-Ho
Expressing stressful experiences in words is proven to improve mental and physical health, but individuals often disengage with writing interventions as they struggle to organize their thoughts and emotions. Reflective prompts have been used to provi
Externí odkaz:
http://arxiv.org/abs/2409.09662
Autor:
Lim, Seonkyu, Choi, Jeongwhan, Park, Noseong, Yoon, Sang-Ha, Kang, ShinHyuck, Kim, Young-Min, Kang, Hyunjoong
Gross domestic product (GDP) nowcasting is crucial for policy-making as GDP growth is a key indicator of economic conditions. Dynamic factor models (DFMs) have been widely adopted by government agencies for GDP nowcasting due to their ability to hand
Externí odkaz:
http://arxiv.org/abs/2409.08732