Jeffrey Spaeder

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Initial Simulation of SARS-CoV2 Spread and Intervention Effects in the Continental US 2020 Sen Pei
Jeffrey Shaman
2
+ Nine challenges for deterministic epidemic models 2014 M. G. Roberts
Viggo Andreasen
Alun L. Lloyd
Lorenzo Pellis
2
+ Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems 2019 Jinlong Wu
Karthik Kashinath
Adrian Albert
Dragos B. Chirila
Prabhat
Heng Xiao
2
+ PDF Chat Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems 2021 Tom Beucler
Michael S. Pritchard
Stephan Rasp
Jordan Ott
Pierre Baldi
Pierre Gentine
2
+ PDF Chat Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions 2020 Zifeng Yang
Zhiqi Zeng
Ke Wang
Sook‐San Wong
Wenhua Liang
Mark Zanin
Peng Liu
Xudong Cao
Zhongqiang Gao
Zhitong Mai
2
+ Differentiable Physics-informed Graph Networks 2019 Sungyong Seo
Yan Liu
1
+ Graph Attention Networks 2018 Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
PĂ­etro LiĂł
Yoshua Bengio
1
+ PDF Chat DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information 2019 Lijing Wang
Jiangzhuo Chen
Madhav Marathe
1
+ PDF Chat An open challenge to advance probabilistic forecasting for dengue epidemics 2019 Michael A. Johansson
Karyn M. Apfeldorf
Scott Dobson
Jason Devita
Anna L. Buczak
Benjamin Baugher
Linda Moniz
Thomas Bagley
Steven M. Babin
Erhan Guven
1
+ PDF Chat Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. 2019 Nicholas G Reich
Craig McGowan
Teresa K. Yamana
Abhinav Tushar
Evan L Ray
Dave Osthus
Sasikiran Kandula
Logan Brooks
Willow Crawford-Crudell
Graham Casey Gibson
1
+ Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction 2019 Songgaojun Deng
Shusen Wang
Huzefa Rangwala
Lijing Wang
Yue Ning
1
+ PDF Chat Evaluating epidemic forecasts in an interval format 2021 Johannes Bracher
Evan L Ray
Tilmann Gneiting
Nicholas G Reich
1
+ Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks 2020 Amol Kapoor
Xue Ben
Luyang Liu
Bryan Perozzi
Matt Barnes
Martin Blais
Shawn O’Banion
1
+ PDF Chat Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature 2020 Milad Haghani
Michiel C.J. Bliemer
1
+ PDF Chat Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021 2021 Rebecca K. Borchering
CĂ©cile Viboud
Emily Howerton
Claire P. Smith
Shaun Truelove
Michael C. Runge
Nicholas G Reich
Lucie Contamin
John Levander
Jessica Salerno
1
+ Combining probabilistic forecasts of COVID-19 mortality in the United States 2021 James W. Taylor
Kathryn Taylor
1
+ An open repository of real-time COVID-19 indicators 2021 Alex Reinhart
Logan Brooks
Maria Jahja
Aaron Rumack
Jingjing Tang
Sumit Agrawal
Wael Al Saeed
Taylor Arnold
Amartya Basu
Jacob Bien
1
+ Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States 2022 Estee Y. Cramer
Evan L Ray
Velma K. Lopez
Johannes Bracher
Andrea Brennen
Alvaro J. Castro Rivadeneira
Aaron Gerding
Tilmann Gneiting
Katie House
Yuxin Huang
1
+ Collaborative Hubs: Making the Most of Predictive Epidemic Modeling 2022 Nicholas G Reich
Justin Lessler
Sebastian Funk
CĂ©cile Viboud
Alessandro Vespignani
Ryan J. Tibshirani
Katriona Shea
Melanie Schienle
Michael C. Runge
Roni Rosenfeld
1
+ Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling 2014 Jun‐Young Chung
Çaǧlar GĂŒlçehre
Kyunghyun Cho
Yoshua Bengio
1
+ Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States 2022 Evan L Ray
Logan Brooks
Jacob Bien
Matthew Biggerstaff
Nikos I Bosse
Johannes Bracher
Estee Y. Cramer
Sebastian Funk
Aaron Gerding
Michael A. Johansson
1
+ Global Dynamics of an SEIR Epidemic Model with Vertical Transmission 2001 Michael Y. Li
Hal L. Smith
Liancheng Wang
1
+ PDF Chat Use and communication of probabilistic forecasts 2016 Adrian E. Raftery
1
+ The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt 2017 CĂ©cile Viboud
Kaiyuan Sun
Robert Gaffey
Marco Ajelli
Laura Fumanelli
Stefano Merler
Qian Zhang
Gerardo Chowell
Lone Simonsen
Alessandro Vespignani
1
+ PDF Chat Can Machines Learn Respiratory Virus Epidemiology?: A Comparative Study of Likelihood-Free Methods for the Estimation of Epidemiological Dynamics 2018 Heidi L. Tessmer
Kimihito Ito
Ryosuke Omori
1