Rodríguez, Alexander

8 publications

AAAI 2025 Neural Conformal Control for Time Series Forecasting Ruipu Li, Alexander Rodríguez

AAAI 2023 EINNs: Epidemiologically-Informed Neural Networks Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash

ICLR 2022 Back2Future: Leveraging Backfill Dynamics for Improving Real-Time Predictions in Future Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash

ICMLW 2022 Differentiable Agent-Based Epidemiological Modeling for End-to-End Learning Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

AAAI 2021 DeepCOVID: An Operational Deep Learning-Driven Framework for Explainable Real-Time COVID-19 Forecasting Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash

AAAI 2021 Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash

NeurIPS 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodriguez, Chao Zhang, B. Aditya Prakash

NeurIPSW 2020 NetReAct: Interactive Learning for Network Summarization Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch, Alexander Rodriguez, Michelle Dowling, Christopher North, B. Aditya Prakash