no code implementations • 21 Jul 2023 • Mohammad Heydari, Yanan Fan, Kin Keung Lai
Hence, computers as well as the chemical engineering [1069-1085] has been developed for considering uncertainty illustrated through a given probability distribution.
1 code implementation • 24 Oct 2022 • Xiongwen Ke, Yanan Fan
The goal of Bayesian deep learning is to provide uncertainty quantification via the posterior distribution.
no code implementations • 17 Jun 2022 • Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
This paper develops a rotation-invariant needlet convolution for rotation group SO(3) to distill multiscale information of spherical signals.
1 code implementation • 31 Jan 2020 • Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang
The noise of the CMB map has a significant impact on the estimation precision for cosmological parameters.
1 code implementation • ICML 2020 • Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan
Deep Graph Neural Networks (GNNs) are useful models for graph classification and graph-based regression tasks.
no code implementations • 25 Sep 2019 • Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan
The input of each pooling layer is transformed by the compressive Haar basis of the corresponding clustering.