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Alexander Rodríguez
Alexander Rodríguez
Assistant Professor, University of Michigan
Zweryfikowany adres z umich.edu - Strona główna
Tytuł
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Cytowane przez
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
1582022
Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting
A Rodriguez, A Tabassum, J Cui, J Xie, J Ho, P Agarwal, B Adhikari, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15393 …, 2021
1022021
The United States COVID-19 Forecast Hub dataset
EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ...
Scientific Data 9 (1), 1-15, 2022
772022
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
A Rodríguez, N Muralidhar, B Adhikari, A Tabassum, N Ramakrishnan, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 4855-4863, 2021
292021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash
Advances in Neural Information Processing Systems 34, 2021
21*2021
Data-centric epidemic forecasting: A survey
A Rodríguez, H Kamarthi, P Agarwal, J Ho, M Patel, S Sapre, BA Prakash
arXiv preprint arXiv:2207.09370, 2022
152022
Differentiable Agent-based Epidemiology
A Chopra, A Rodríguez, J Subramanian, B Krishnamurthy, BA Prakash, ...
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
14*2023
EINNs: Epidemiologically-Informed Neural Networks
A Rodríguez, J Cui, N Ramakrishnan, B Adhikari, BA Prakash
Proceedings of the AAAI Conference on Artificial Intelligence 37, 2023
112023
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash
Proceedings of the ACM Web Conference 2022, 3174-3185, 2022
112022
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
H Kamarthi, A Rodríguez, BA Prakash
International Conference on Learning Representations, 2022
102022
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
7*2023
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0@ KDD2021)
B Adhikari, A Srivastava, S Pei, S Kefayati, R Yu, A Yadav, A Rodríguez, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
32021
NetReAct: Interactive Learning for Network Summarization
SE Amiri, B Adhikari, J Wenskovitch, A Rodriguez, M Dowling, C North, ...
arXiv preprint arXiv:2012.11821, 2020
32020
Mapping network states using connectivity queries
A Rodríguez, B Adhikari, AD González, C Nicholson, A Vullikanti, ...
2020 IEEE International Conference on Big Data (Big Data), 778-787, 2020
32020
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery
B Adhikari, A Yadav, S Pei, A Srivastava, S Kefayati, A Rodríguez, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
22022
Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations
SM Mathis, AE Webber, A Basu, JM Drake, LA White, EL Murray, M Sun, ...
medRxiv, 2023.12. 08.23299726, 2023
12023
Epidemic Forecasting with a Data-Centric Lens
A Rodríguez, H Kamarthi, BA Prakash
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
12022
Incorporating Expert Guidance in Epidemic Forecasting
A Rodríguez, B Adhikari, N Ramakrishnan, BA Prakash
arXiv preprint arXiv:2101.10247, 2020
12020
Data-based Methodology for Mitigation Decision-making in Critical Infrastructure
AD Rodriguez, CD Nicholson
IIE Annual Conference. Proceedings, 182-187, 2018
12018
Using neural networks to calibrate agent based models enables improved regional evidence for vaccine strategy and policy
A Chopra, A Rodriguez, BA Prakash, R Raskar, T Kingsley
Vaccine 41 (48), 7067-7071, 2023
2023
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