Zobrazeno 1 - 10
of 3 156
pro vyhledávání: '"A. Ruhan"'
Modern quantum machine learning (QML) methods involve the variational optimization of parameterized quantum circuits on training datasets, followed by predictions on testing datasets. Most state-of-the-art QML algorithms currently lack practical adva
Externí odkaz:
http://arxiv.org/abs/2411.04217
We study offline off-dynamics reinforcement learning (RL) to utilize data from an easily accessible source domain to enhance policy learning in a target domain with limited data. Our approach centers on return-conditioned supervised learning (RCSL),
Externí odkaz:
http://arxiv.org/abs/2410.23450
In this paper, we first show that current learning-based video codecs, specifically the SSF codec, are not suitable for real-world applications due to the mismatch between the encoder and decoder caused by floating-point round-off errors. To address
Externí odkaz:
http://arxiv.org/abs/2410.20145
We characterize the compactness of embedding derivatives from Hardy space $H^p$ into Lebesgue space $L^q(\mu)$. We also completely characterize the boundedness and compactness of derivative area operators from $H^p$ into $L^q(\mathbb{S}_n)$, $0
Externí odkaz:
http://arxiv.org/abs/2410.05672
Publikováno v:
HardwareX, Vol 11, Iss , Pp e00309- (2022)
Ever since the COVID-19 pandemic, the necessity of new,innovative medical devices to analyse and monitor the situation has become profound. With this in mind, we have developed an IOT based portable and cost-efficient heart rate and SpO2/level sensor
Externí odkaz:
https://doaj.org/article/5274a80a37e24d158ebb61374c616d4d
Autor:
Guo, Yijie, Huang, Zhenhan, Wang, Ruhan, Yao, Zhihao, Yu, Tianyu, Xu, Zhiling, Zhao, Xinyu, Li, Xueqing, Mi, Haipeng
While Swarm User Interfaces (SUIs) have succeeded in enriching tangible interaction experiences, their limitations in autonomous action planning have hindered the potential for personalized and dynamic interaction generation in tabletop games. Based
Externí odkaz:
http://arxiv.org/abs/2407.17086
Autor:
Abeysinghe, Bhashithe, Circi, Ruhan
Chatbots have been an interesting application of natural language generation since its inception. With novel transformer based Generative AI methods, building chatbots have become trivial. Chatbots which are targeted at specific domains for example m
Externí odkaz:
http://arxiv.org/abs/2406.03339
Autor:
Naik, Atharva, Yin, Jessica Ruhan, Kamath, Anusha, Ma, Qianou, Wu, Sherry Tongshuang, Murray, Charles, Bogart, Christopher, Sakr, Majd, Rose, Carolyn P.
An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussion, to potentially better engage students than standard feedback. We pr
Externí odkaz:
http://arxiv.org/abs/2404.18262
This paper introduces a new method of paper circuit fabrication that overcomes design barriers and increases flexibility in circuit design. Conventional circuit boards rely on thin traces, which limits the complexity and accuracy when applied to pape
Externí odkaz:
http://arxiv.org/abs/2404.07364
Autor:
Yang, Ruhan, Do, Ellen Yi-Luen
This paper explores the implementation of embedded magnets to enhance paper-based interactions. The integration of magnets in paper-based interactions simplifies the fabrication process, making it more accessible for building soft robotics systems. W
Externí odkaz:
http://arxiv.org/abs/2404.07360