Zobrazeno 1 - 10
of 2 439
pro vyhledávání: '"Lu, Yen"'
In this paper, we introduce SoloAudio, a novel diffusion-based generative model for target sound extraction (TSE). Our approach trains latent diffusion models on audio, replacing the previous U-Net backbone with a skip-connected Transformer that oper
Externí odkaz:
http://arxiv.org/abs/2409.08425
Autor:
Na, Neil, Lu, Yen-Cheng, Liu, Yu-Hsuan, Chen, Po-Wei, Lai, Ying-Chen, Lin, You-Ru, Lin, Chung-Chih, Shia, Tim, Cheng, Chih-Hao, Chen, Shu-Lu
Publikováno v:
Nature 627, 295 (2024)
The ability to detect single photons has led to the advancement of numerous research fields. Although various types of single-photon detector have been developed, because of two main factors - that is, (1) the need for operating at cryogenic temperat
Externí odkaz:
http://arxiv.org/abs/2407.10379
Autor:
Lu, Yen-Cheng
Nowadays, outlier detection has attracted growing interest. Unlike typical outlier detection problems, relational outlier detection focuses on detecting abnormal patterns in datasets that contain relational implications within each data point. Furthe
Externí odkaz:
http://hdl.handle.net/10919/112784
This work addresses data-driven inverse optimization (IO), where the goal is to estimate unknown parameters in an optimization model from observed decisions that can be assumed to be optimal or near-optimal solutions to the optimization problem. The
Externí odkaz:
http://arxiv.org/abs/2405.17875
Standard field theoretic formulations of composite fermion theories for the anomalous metals that form at or near even-denominator filling fractions of the lowest Landau level do not possess Galilei invariance. To restore Galilei symmetry, these theo
Externí odkaz:
http://arxiv.org/abs/2302.14076
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation
Particle filters are a group of algorithms to solve inverse problems through statistical Bayesian methods when the model does not comply with the linear and Gaussian hypothesis. Particle filters are used in domains like data assimilation, probabilist
Externí odkaz:
http://arxiv.org/abs/2301.02668
Autor:
Chang, Yung-Yeh, Van Nguyen, Khoe, Chen, Kuang-Lung, Lu, Yen-Wen, Mou, Chung-Yu, Chung, Chung-Hou
Spin-triplet $p$-wave superconductors are promising candidates for topological superconductors. They have been proposed in various heterostructures where a material with strong spin-orbit interaction is coupled to a conventional $s$-wave superconduct
Externí odkaz:
http://arxiv.org/abs/2301.00538
Autor:
Zih-Yong Liao, Shao-Jun Sun, Catherine Clarissa, Lissette Aviles, Cheng-Pei Lin, Ching Ting Kao, Yun-Hsuan Shih, Yun-Sheng Lo, Lu-Yen Anny Chen
Publikováno v:
Journal of the Formosan Medical Association, Vol 123, Iss , Pp S215-S222 (2024)
In the wake of the COVID-19 pandemic, the fluctuating nurse resignation rates highlighted an understudied area in healthcare: post-pandemic challenges in clinical settings. This study, conducted from May to November 2023, employed a qualitative inqui
Externí odkaz:
https://doaj.org/article/b860dca94ba4480ca46b58cd6046242d
