Alexander Rodriguez
7 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
π
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Data Science & Analytics
(5)
Methods
(5)
Deep Learning
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Applications
(3)
Core AI
(3)
Healthcare & Medicine
(2)
Application Areas
(2)
Clinical
(2)
Core Methods
(2)
Learning Paradigms
(2)
Keywords
uncertainty quantification
(4)
time series forecasting
(4)
epidemic forecasting
(2)
covid-19 forecasting
(2)
neural network
(2)
physics-informed neural network
(2)
epidemiological model
(2)
time series
(2)
real-time prediction
(2)
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)
pandemic modeling
(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
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
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
NeurIPS 2021