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2005.08837
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When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
13 May 2020
Zhaozhi Qian
Ahmed Alaa
M. Schaar
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Papers citing
"When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes"
7 / 7 papers shown
Title
Game and Reference: Policy Combination Synthesis for Epidemic Prevention and Control
Zhiyi Tan
Bing-Kun Bao
11
0
0
16 Mar 2024
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
Mingjie Qiu
Zhiyi Tan
Bingkun Bao
38
6
0
30 Aug 2023
Differentiable Agent-based Epidemiology
Ayush Chopra
Alexander Rodríguez
J. Subramanian
Arnau Quera-Bofarull
Balaji Krishnamurthy
B. Prakash
Ramesh Raskar
AI4CE
27
19
0
20 Jul 2022
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez
Harshavardhan Kamarthi
Pulak Agarwal
Javen Ho
Mira Patel
Suchet Sapre
B. Prakash
OOD
36
18
0
19 Jul 2022
Predicting infections in the Covid-19 pandemic -- lessons learned
Sharare Zehtabian
Siavash Khodadadeh
D. Turgut
Ladislau Bölöni
28
2
0
02 Dec 2021
Modeling Effect of Lockdowns and Other Effects on India Covid-19 Infections Using SEIR Model and Machine Learning
Sathiyanarayanan Sampath
Joy Bose
16
1
0
04 Oct 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation
Agnieszka Słowik
Léon Bottou
FaML
45
19
0
17 Jun 2021
1