← authors · overview

• Physically consistent and uncertainty-aware learning of spatiotemporal dynamics
  2025
• Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting
  2025
• Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis
  2020
• Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes
  2020
• A deep network approach to multitemporal cloud detection
  2020
• Deep Learning Methods for Daily Wildfire Danger Forecasting
  2021
• Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward
  2023
• Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
  2023
• TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting
  2023
• Graphs in State-Space Models for Granger Causality in Climate Science
  2023
• Causality and Explainability for Trustworthy Integrated Pest Management
  2023
• Causal Graph Neural Networks for Wildfire Danger Prediction
  2024
• Large Language Models for Constrained-Based Causal Discovery
  2024
• AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
  2024