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Liyao Mars Gao
Liyao Mars Gao
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Title
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Year
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
240*2022
Quantifying uncertainty in deep spatiotemporal forecasting
D Wu, L Gao, M Chinazzi, X Xiong, A Vespignani, YA Ma, R Yu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
512021
Non-convex learning via replica exchange stochastic gradient mcmc
W Deng, Q Feng, L Gao, F Liang, G Lin
International Conference on Machine Learning, 2474-2483, 2020
392020
H-DrunkWalk: Collaborative and adaptive navigation for heterogeneous MAV swarm
X Chen, C Ruiz, S Zeng, L Gao, A Purohit, S Carpin, P Zhang
ACM Transactions on Sensor Networks (TOSN) 16 (2), 1-27, 2020
312020
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
D Wu, L Gao, X Xiong, M Chinazzi, A Vespignani, YA Ma, R Yu
arXiv preprint arXiv:2102.06684, 2021
192021
Robust data-driven discovery of partial differential equations with time-dependent coefficients
A Chen, G Lin
arXiv preprint arXiv:2102.01432, 2021
112021
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants
L Gao, JN Kutz
arXiv preprint arXiv:2211.10575, 2022
8*2022
RotEqNet: Rotation-equivariant network for fluid systems with symmetric high-order tensors
L Gao, Y Du, H Li, G Lin
Journal of Computational Physics 461, 111205, 2022
82022
Deformation robust roto-scale-translation equivariant cnns
L Gao, G Lin, W Zhu
Transactions on Machine Learning Research, 2022
82022
Rotation-equivariant convolutional neural network ensembles in image processing
L Gao, H Li, Z Lu, G Lin
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
82019
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery
L Gao, U Fasel, SL Brunton, JN Kutz
arXiv preprint arXiv:2301.12649, 2023
72023
On Optimal Early Stopping: Over-informative versus Under-informative Parametrization
R Shen, L Gao, Y Ma
arXiv preprint arXiv:2202.09885, 2022
52022
Learning with Collaborative Neural Network Group by Reflection
L Gao, Z Cheng
arXiv preprint arXiv:1901.02433, 2019
22019
Cortex neural network: learning with neural network groups
L Gao
arXiv preprint arXiv:1804.03313, 2018
12018
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US (preprint)
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ...
2021
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