Title
DemOpts: Fairness corrections in COVID-19 case prediction models N. Awasthi S. Abrar Daniel Smolyak Vanessa Frias-Martinez 26 0 0 15 May 2024
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation Keke Huang Ruize Gao Bogdan Cautis Xiaokui Xiao 23 3 0 05 Mar 2024
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting Mingjie Qiu Zhiyi Tan Bingkun Bao 36 6 0 30 Aug 2023
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 18 0 0 06 Aug 2023
Deep COVID-19 Forecasting for Multiple States with Data Augmentation C. Fong Dit-Yan Yeung 25 0 0 02 Feb 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models Naoya Takeishi Alexandros Kalousis AAML 38 3 0 24 Oct 2022
Differentiable Agent-based Epidemiology Ayush Chopra Alexander Rodríguez J. Subramanian Arnau Quera-Bofarull Balaji Krishnamurthy B. Prakash Ramesh Raskar AI4CE 25 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 29 18 0 19 Jul 2022
Indirect Active Learning Shashank Singh 14 0 0 03 Jun 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 20 18 0 24 Feb 2022
EINNs: Epidemiologically-informed Neural Networks Alexander Rodríguez Jiaming Cui Naren Ramakrishnan B. Adhikari B. Prakash 24 28 0 21 Feb 2022
Predicting infections in the Covid-19 pandemic -- lessons learned Sharare Zehtabian Siavash Khodadadeh D. Turgut Ladislau Bölöni 20 2 0 02 Dec 2021
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA Benjamin Lucas Behzad Vahedi M. Karimzadeh OOD 34 31 0 24 Sep 2021
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data Ananya Jana Carlos D Minacapelli V. Rustgi Dimitris N. Metaxas 20 1 0 10 Sep 2021
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future Harshavardhan Kamarthi Alexander Rodríguez B. Prakash AI4TS 22 14 0 08 Jun 2021
Deep Bayesian Active Learning for Accelerating Stochastic Simulation D. Wu Ruijia Niu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 27 8 0 05 Jun 2021
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting R. Vega Leonardo Flores Russell Greiner 17 31 0 03 Jun 2021
MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics Chaofan Huang Simin Ma Shihao Yang 20 0 0 27 May 2021
Breiman's two cultures: You don't have to choose sides Andrew C. Miller N. Foti E. Fox 28 11 0 25 Apr 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 24 54 0 25 Feb 2021
Inter-Series Attention Model for COVID-19 Forecasting Xiaoyong Jin Yu-Xiang Wang Xifeng Yan AI4TS 11 36 0 25 Oct 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 424 0 10 Mar 2020