Alexander Rodrguez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
4
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Toward Trustworthy AI for Decision Making in Population Health. | Alexander Rodrguez |
| 2025 | AAAI | Neural Conformal Control for Time Series Forecasting. | Ruipu Li, Alexander Rodrguez |
| 2025 | KDD | Performative Time-Series Forecasting. | Zhiyuan Zhao, Haoxin Liu, Alexander Rodrguez, B. Aditya Prakash |
| 2024 | KDD | epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Alexander Rodrguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash |
| 2023 | AAAI | EINNs: Epidemiologically-Informed Neural Networks. | Alexander Rodrguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash |
| 2023 | KDD | epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Bijaya Adhikari, Alexander Rodrguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2023 | KDD | When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. | Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodrguez, Chao Zhang, B. Aditya Prakash |
| 2022 | ICLR | Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. | Harshavardhan Kamarthi, Alexander Rodrguez, B. Aditya Prakash |
| 2022 | KDD | epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodrguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2022 | KDD | Epidemic Forecasting with a Data-Centric Lens. | Alexander Rodrguez, Harshavardhan Kamarthi, B. Aditya Prakash |
| 2022 | WWW | CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. | Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodrguez, Chao Zhang, B. Aditya Prakash |
| 2021 | AAAI | Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. | Alexander Rodrguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash |
| 2021 | AAAI | DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. | Alexander Rodrguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash |
| 2021 | KDD | The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). | Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodrguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash |