Alexander Rodriguez
7 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AAAI (5)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
uncertainty quantification
(4)
time series forecasting
(3)
neural network
(2)
physics-informed neural network
(2)
epidemic forecasting
(2)
epidemiological model
(2)
time series
(2)
probabilistic model
(1)
prediction interval
(1)
heterogeneous datum
(1)
non-stationary environment
(1)
agent-based model
(1)
epidemiological modeling
(1)
disease forecasting
(1)
neural process
(1)
influenza forecasting
(1)
pandemic forecasting
(1)
neural transfer learning
(1)
latent dynamics learning
(1)
mechanistic model integration
(1)
Papers
Toward Trustworthy AI for Decision Making in Population Health
AAAI 2026
Neural Conformal Control for Time Series Forecasting
AAAI 2025
EINNs: Epidemiologically-Informed Neural Networks
AAAI 2023
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
ICLR 2022
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
NIPS 2021
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
AAAI 2021
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
AAAI 2021