Zobrazeno 1 - 10
of 732
pro vyhledávání: '"Yang Minglei"'
We introduce a conditional pseudo-reversible normalizing flow for constructing surrogate models of a physical model polluted by additive noise to efficiently quantify forward and inverse uncertainty propagation. Existing surrogate modeling approaches
Externí odkaz:
http://arxiv.org/abs/2404.00502
We present a supervised learning framework of training generative models for density estimation. Generative models, including generative adversarial networks, normalizing flows, variational auto-encoders, are usually considered as unsupervised learni
Externí odkaz:
http://arxiv.org/abs/2310.14458
We present a pseudo-reversible normalizing flow method for efficiently generating samples of the state of a stochastic differential equation (SDE) with different initial distributions. The primary objective is to construct an accurate and efficient s
Externí odkaz:
http://arxiv.org/abs/2306.05580
Publikováno v:
International Journal of Antennas and Propagation, Vol 2015 (2015)
The beamspace unitary ESPRIT (B-UESPRIT) algorithm for estimating the joint direction of arrival (DOA) and the direction of departure (DOD) in bistatic multiple-input multiple-output (MIMO) radar is proposed. The conjugate centrosymmetrized DFT matri
Externí odkaz:
https://doaj.org/article/7fa117b17edd4c618302eb248560e660
Publikováno v:
In Information Sciences January 2025 689
An interpolation method to evaluate magnetic fields given unstructured, scattered magnetic data is presented. The method is based on the reconstruction of the global magnetic field using a superposition of orthogonal functions. The coefficients of th
Externí odkaz:
http://arxiv.org/abs/2207.12349
This work presents a probabilistic scheme for solving semilinear nonlocal diffusion equations with volume constraints and integrable kernels. The nonlocal model of interest is defined by a time-dependent semilinear partial integro-differential equati
Externí odkaz:
http://arxiv.org/abs/2205.00516
Autor:
Yu, Yongfeng, Guo, Qisen, Zhang, Yongchang, Fang, Jian, Zhong, Diansheng, Liu, Baogang, Pan, Pinhua, Lv, Dongqing, Wu, Lin, Zhao, Yanqiu, Li, Juan, Liu, Zhihua, Liu, Chunling, Su, Haichuan, Fan, Yun, Zhang, Tongmei, Liu, Anwen, Jin, Bo, Wang, Ye, Zhou, Jianying, Zhang, Zhihong, Ran, Fengming, Song, Xia, Wang, Mengzhao, Zhang, Xiaodong, Ma, Rui, Song, Zizheng, Li, Xingya, Cheng, Ying, Wang, Changli, Han, Liang, Shi, Jianhua, Yu, Zhuang, Chen, Yuan, Huang, Jianan, Min, Xuhong, Wang, Limin, Lu, Kaihua, Yang, Minglei, Wang, Pingli, Dong, Xiaorong, Yu, Guohua, Wang, Buhai, Chang, Jianhua, Duan, Jianchun, Cang, Shundong, Song, Quanyi, Yu, Jie, Fan, Songhua, Wang, Linfang, Ren, Yongxin, Luo, Xian, Shi, Michael, Su, Weiguo, Lu, Shun
Publikováno v:
In The Lancet Respiratory Medicine December 2024 12(12):958-966
Publikováno v:
In Digital Signal Processing November 2024 154
Autor:
Shi, Yongxiang, Wang, Zhan, Zhang, Jiahao, He, Peiwen, Yang, Minglei, Zhao, Chenglong, Li, Bo, Qian, Ming
Publikováno v:
In The American Journal of Pathology November 2024 194(11):2163-2178