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

12 February 2021

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