Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Sun Yuewen"'
Autor:
Dong, Xinshuai, Ng, Ignavier, Huang, Biwei, Sun, Yuewen, Jin, Songyao, Legaspi, Roberto, Spirtes, Peter, Zhang, Kun
Linear causal models are important tools for modeling causal dependencies and yet in practice, only a subset of the variables can be observed. In this paper, we examine the parameter identifiability of these models by investigating whether the edge c
Externí odkaz:
http://arxiv.org/abs/2407.16975
Autor:
Zeng, Donghuo, Legaspi, Roberto S., Sun, Yuewen, Dong, Xinshuai, Ikeda, Kazushi, Spirtes, Peter, Zhang, kun
Customizing persuasive conversations related to the outcome of interest for specific users achieves better persuasion results. However, existing persuasive conversation systems rely on persuasive strategies and encounter challenges in dynamically adj
Externí odkaz:
http://arxiv.org/abs/2404.13792
Autor:
Chen, Guangyi, Shen, Yifan, Chen, Zhenhao, Song, Xiangchen, Sun, Yuewen, Yao, Weiran, Liu, Xiao, Zhang, Kun
Identifying the underlying time-delayed latent causal processes in sequential data is vital for grasping temporal dynamics and making downstream reasoning. While some recent methods can robustly identify these latent causal variables, they rely on st
Externí odkaz:
http://arxiv.org/abs/2401.14535
Although sparse-view computed tomography (CT) has significantly reduced radiation dose, it also introduces severe artifacts which degrade the image quality. In recent years, deep learning-based methods for inverse problems have made remarkable progre
Externí odkaz:
http://arxiv.org/abs/2401.00135
Our goal is to recover time-delayed latent causal variables and identify their relations from measured temporal data. Estimating causally-related latent variables from observations is particularly challenging as the latent variables are not uniquely
Externí odkaz:
http://arxiv.org/abs/2110.05428
Publikováno v:
In Industrial Crops & Products May 2024 211
Publikováno v:
In Ocean Engineering 15 November 2023 288 Part 2
Publikováno v:
In Fuel Processing Technology 15 June 2023 245
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Isotopes, Vol 35, Iss 5, Pp 376-381 (2022)
The Tsinghua University successfully invented a dual-projection digital radiography system, which adopts two 60Co radiation sources aiming at two patented high-pressure gas chamber array detectors respectively. The system can obtain both vertical and
Externí odkaz:
https://doaj.org/article/4dbb5a31070044d1ad380706a7fe9176