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On Optimal Early Stopping: Over-informative versus Under-informative Parametrization


Feb 23, 2022
Ruoqi Shen, Liyao Gao, Yi-An Ma

* 30 pages, 15 figures 

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Deformation Robust Roto-Scale-Translation Equivariant CNNs


Nov 22, 2021
Liyao Gao, Guang Lin, Wei Zhu


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Quantifying Uncertainty in Deep Spatiotemporal Forecasting


May 25, 2021
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu

* arXiv admin note: text overlap with arXiv:2102.06684 

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DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting


Feb 15, 2021
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yian Ma, Rose Yu


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DeepGLEAM: an hybrid mechanistic and deep learning model for COVID-19 forecasting


Feb 12, 2021
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yian Ma, Rose Yu


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Non-convex Learning via Replica Exchange Stochastic Gradient MCMC


Sep 10, 2020
Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin

* Accepted by ICML 2020 

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RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors


Apr 28, 2020
Liyao Gao, Yifan Du, Hongshan Li, Guang Lin

* Preprint submitted to Journal of Computational Physics 

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Learning with Collaborative Neural Network Group by Reflection


Jan 20, 2019
Liyao Gao, Zehua Cheng

* 6 Pages. Ubicomp Workshop 2018 

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