Alexander Rodríguez

38 papers A* 14A 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Toward Trustworthy AI for Decision Making in Population Health. AAAI Alexander Rodríguez
2025	J	`jnl`	Adaptive Conformal Prediction Intervals Over Trajectory Ensembles. CoRR Ruipu Li, Daniel Menacho, Alexander Rodríguez
2025	J	`jnl`	Counterfactual Probabilistic Diffusion with Expert Models. CoRR Wenhao Mu, Zhi Cao, Mehmed Uludag, Alexander Rodríguez
2025	J	`jnl`	Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction. CoRR Shangqing Xu, Zhiyuan Zhao, Megha Sharma, José María Martín-Olalla, Alexander Rodríguez, Gregory A. Wellenius, B. Aditya Prakash
2025	A*	`conf`	Neural Conformal Control for Time Series Forecasting. AAAI Ruipu Li, Alexander Rodríguez
2025	—	`conf`	Performative Time-Series Forecasting. KDD (2) Zhiyuan Zhao, Haoxin Liu, Alexander Rodríguez, B. Aditya Prakash
2024	J	`jnl`	Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	Machine learning for data-centric epidemic forecasting. Nat. Mac. Intell. Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
2024	J	`jnl`	Neural Conformal Control for Time Series Forecasting. CoRR Ruipu Li, Alexander Rodríguez
2024	A*	`conf`	epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
2023	A	`conf`	AI & Multi-agent Systems for Data-centric Epidemic Forecasting. AAMAS Alexander Rodríguez
2023	J	`jnl`	Computer-Aided Diagnosis for Tuberculosis Classification with Water Strider Optimization Algorithm. Comput. Syst. Sci. Eng. José Escorcia-Gutierrez, Roosvel Soto-Díaz, Natasha Madera, Carlos Soto, Francisco Burgos-Flórez, Alexander Rodríguez, Romany Fouad Mansour
2023	A	`conf`	Differentiable Agent-based Epidemiology. AAMAS Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
2023	A*	`conf`	EINNs: Epidemiologically-Informed Neural Networks. AAAI Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
2023	J	`jnl`	Performative Time-Series Forecasting. CoRR Zhiyuan Zhao, Alexander Rodríguez, B. Aditya Prakash
2023	A*	`conf`	When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. KDD Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2023	A*	`conf`	epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2022	A*	`conf`	Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. ICLR Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
2022	A*	`conf`	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2022	J	`jnl`	Data-Centric Epidemic Forecasting: A Survey. CoRR Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
2022	J	`jnl`	Differentiable Agent-based Epidemiology. CoRR Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
2022	J	`jnl`	EINNs: Epidemiologically-Informed Neural Networks. CoRR Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
2022	A*	`conf`	Epidemic Forecasting with a Data-Centric Lens. KDD Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash
2022	J	`jnl`	PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2022	A*	`conf`	epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2021	J	`jnl`	Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. CoRR Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
2021	J	`jnl`	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2021	A*	`conf`	DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. AAAI Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash
2021	J	`jnl`	Electrochemical Immunosensor for the Quantification of S100B at Clinically Relevant Levels Using a Cysteamine Modified Surface. Sensors Alexander Rodríguez, Francisco Burgos-Flórez, José D. Posada, Eliana Cervera, Valtencir Zucolotto, Homero Sanjuán, Marco E. Sanjuan, Pedro J. Villalba
2021	J	`jnl`	Incorporating Expert Guidance in Epidemic Forecasting. CoRR Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash
2021	A*	`conf`	Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
2021	A*	`conf`	The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
2021	A*	`conf`	When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2021	J	`jnl`	When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2020	J	`jnl`	Mapping Network States Using Connectivity Queries. CoRR Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
2020	—	`conf`	Mapping Network States using Connectivity Queries. IEEE BigData Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
2020	J	`jnl`	NetReAct: Interactive Learning for Network Summarization. CoRR Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash
2020	J	`jnl`	Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash