Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Zhou, Wenda"'
Autor:
Li, Yin, Lu, Libin, Modi, Chirag, Jamieson, Drew, Zhang, Yucheng, Feng, Yu, Zhou, Wenda, Kwan, Ngai Pok, Lanusse, François, Greengard, Leslie
The formation of the large-scale structure, the evolution and distribution of galaxies, quasars, and dark matter on cosmological scales, requires numerical simulations. Differentiable simulations provide gradients of the cosmological parameters, that
Externí odkaz:
http://arxiv.org/abs/2211.09958
Autor:
Zhang, Ruiheng, Fang, Yan-Cheng, Shi, Xuhan, Wu, Haotian, Yu, Chuyao, Li, Yitong, Zhou, Wenda, Li, Heyan, Zhang, Chuan, Zhou, Yan-Feng, Dong, Li, Wei, Wenbin
Publikováno v:
In Heliyon 15 September 2024 10(17)
Autor:
Zhou, Wenda
Appealing due to its universality, cross-validation is an ubiquitous tool for model tuning and selection. At its core, cross-validation proposes to split the data (potentially several times), and alternatively use some of the data for fitting a model
Publikováno v:
ICLR 2022
Parametric computer-aided design (CAD) tools are the predominant way that engineers specify physical structures, from bicycle pedals to airplanes to printed circuit boards. The key characteristic of parametric CAD is that design intent is encoded not
Externí odkaz:
http://arxiv.org/abs/2109.14124
The problem of recovering a structured signal from its linear measurements in the presence of speckle noise is studied. This problem appears in many imaging systems such as synthetic aperture radar and optical coherence tomography. The current acquis
Externí odkaz:
http://arxiv.org/abs/2108.00329
Autor:
Du, Kuifang, Dong, Li, Zhang, Kai, Guan, Meilin, Chen, Chao, Xie, Lianyong, Kong, Wenjun, Li, Heyan, Zhang, Ruiheng, Zhou, Wenda, Wu, Haotian, Dong, Hongwei, Wei, Wenbin
Publikováno v:
In Heliyon 30 May 2024 10(10)
We introduce Automorphism-based graph neural networks (Autobahn), a new family of graph neural networks. In an Autobahn, we decompose the graph into a collection of subgraphs and apply local convolutions that are equivariant to each subgraph's automo
Externí odkaz:
http://arxiv.org/abs/2103.01710
Publikováno v:
In Applied Geochemistry February 2024 162
Parametric computer-aided design (CAD) is the dominant paradigm in mechanical engineering for physical design. Distinguished by relational geometry, parametric CAD models begin as two-dimensional sketches consisting of geometric primitives (e.g., lin
Externí odkaz:
http://arxiv.org/abs/2007.08506
Publikováno v:
AISTATS 2020
We study the problem of out-of-sample risk estimation in the high dimensional regime where both the sample size $n$ and number of features $p$ are large, and $n/p$ can be less than one. Extensive empirical evidence confirms the accuracy of leave-one-
Externí odkaz:
http://arxiv.org/abs/2003.01770