Zobrazeno 1 - 10
of 17 078
pro vyhledávání: '"Wong, A K"'
We analyze the feasibility of cooling of classical motion of a micro- to nano-sized magnetic particle, levitated inside a hollow-core photonic crystal fiber. The cooling action is implemented by means of controlling the phase of one of the counter-pr
Externí odkaz:
http://arxiv.org/abs/2410.02697
Autor:
Croxford, Emma, Gao, Yanjun, Pellegrino, Nicholas, Wong, Karen K., Wills, Graham, First, Elliot, Liao, Frank J., Goswami, Cherodeep, Patterson, Brian, Afshar, Majid
Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine requires reliable evaluation, which remains a challenge. In this narrat
Externí odkaz:
http://arxiv.org/abs/2409.18170
Foundation models (FMs) are large-scale deep-learning models trained on extensive datasets using self-supervised techniques. These models serve as a base for various downstream tasks, including healthcare. FMs have been adopted with great success acr
Externí odkaz:
http://arxiv.org/abs/2406.10729
In this paper, we delve into the statistical analysis of the fitted Q-evaluation (FQE) method, which focuses on estimating the value of a target policy using offline data generated by some behavior policy. We provide a comprehensive theoretical under
Externí odkaz:
http://arxiv.org/abs/2406.10438
Optomagnetic forces on YIG/YFeO3 microspheres levitated in chiral hollow-core photonic crystal fibre
Autor:
Chakraborty, Soumya, Wong, Gordon K. L., Oda, Ferdi, Wachter, Vanessa, Kusminskiy, Silvia Viola, Yokosawa, Tadahiro, Hübner, Sabine, Zubiri, Benjamin Apeleo, Spiecker, Erdmann, Distaso, Monica, Russell, Philip St. J., Joly, Nicolas Y.
We explore a magnetooptomechanical system consisting of a single magnetic microparticle optically levitated within the core of a helically twisted single-ring hollow-core photonic crystal fibre. We use newly-developed magnetic particles that have a c
Externí odkaz:
http://arxiv.org/abs/2404.16182
Artificial Intelligence has outperformed human experts in functional tasks such as chess and baduk. How about creative tasks? This paper evaluates AI's capability in the creative domain compared to human experts, which little research has been conduc
Externí odkaz:
http://arxiv.org/abs/2404.00018
Autor:
Zhou, Yi, Hsieh, Jih-Liang, Oguz, Ilker, Yildirim, Mustafa, Dinc, Niyazi Ulas, Gigli, Carlo, Wong, Kenneth K. Y., Moser, Christophe, Psaltis, Demetri
Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high energy consumption have emerged as issues that require solutions. Optica
Externí odkaz:
http://arxiv.org/abs/2403.02452
Autor:
Lin, Li, Liu, Yixiang, Wu, Jiewei, Cheng, Pujin, Cai, Zhiyuan, Wong, Kenneth K. Y., Tang, Xiaoying
Federated learning (FL) effectively mitigates the data silo challenge brought about by policies and privacy concerns, implicitly harnessing more data for deep model training. However, traditional centralized FL models grapple with diverse multi-cente
Externí odkaz:
http://arxiv.org/abs/2402.17502
Covariate balancing methods have been widely applied to single or monotone missing patterns and have certain advantages over likelihood-based methods and inverse probability weighting approaches based on standard logistic regression. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2402.08873
We study distributional off-policy evaluation (OPE), of which the goal is to learn the distribution of the return for a target policy using offline data generated by a different policy. The theoretical foundation of many existing work relies on the s
Externí odkaz:
http://arxiv.org/abs/2402.01900