3 papers
cs.LG2026
Adaptive Multi-task Learning for Probabilistic Load Forecasting
Onintze Zaballa, Verónica Álvarez, Santiago Mazuelas
Simultaneous load forecasting across multiple entities (e.g., regions, buildings) is crucial for the efficient, reliable, and cost-effective operation of power systems. Accurate lo…
stat.ML2025
Multi-task Online Learning for Probabilistic Load Forecasting
Onintze Zaballa, Verónica Álvarez, Santiago Mazuelas
Load forecasting is essential for the efficient, reliable, and cost-effective management of power systems. Load forecasting performance can be improved by learning the similarities…
stat.ML2023
Time-dependent Probabilistic Generative Models for Disease Progression
Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto +2
Electronic health records contain valuable information for monitoring patients' health trajectories over time. Disease progression models have been developed to understand the unde…