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2102.06684
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DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
12 February 2021
Dongxian Wu
Liyao (Mars) Gao
X. Xiong
Matteo Chinazzi
Alessandro Vespignani
Yi Ma
Rose Yu
FedML
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Papers citing
"DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting"
9 / 9 papers shown
Title
WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets
Adib Hasan
Mardavij Roozbehani
M. Dahleh
AI4TS
19
0
0
22 May 2024
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors
Marco Knipfer
S. Meier
J. Heimerl
P. Hommelhoff
S. Gleyzer
21
3
0
13 Jun 2023
Deep COVID-19 Forecasting for Multiple States with Data Augmentation
C. Fong
Dit-Yan Yeung
25
0
0
02 Feb 2023
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Y. Mao
L. Sha
Huajie Shao
Yuliang Gu
Qixin Wang
Tarek F. Abdelzaher
PINN
AI4CE
34
1
0
27 Sep 2022
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez
Harshavardhan Kamarthi
Pulak Agarwal
Javen Ho
Mira Patel
Suchet Sapre
B. Prakash
OOD
29
18
0
19 Jul 2022
The Prominence of Artificial Intelligence in COVID-19
Md Abdullah Al Nasim
Aditi Dhali
Faria Afrin
Noshin Tasnim Zaman
Nazmul Karim
Md. Mahim Anjum Haque
22
12
0
18 Nov 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CE
PINN
39
64
0
02 Jul 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1