3 papers
cs.LG2026
From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +1
High-resolution rainfall observations are crucial for weather forecasting, water management, and hazard mitigation. Traditional operational measurements are often biased and low-re…
cs.HC2025
Participatory AI: A Scandinavian Approach to Human-Centered AI
Niklas Elmqvist, Eve Hoggan, Hans-Jörg Schulz +45
AI's transformative impact on work, education, and everyday life makes it as much a political artifact as a technological one. Current AI models are opaque, centralized, and overly…
cs.LG2024
Multi-Source Temporal Attention Network for Precipitation Nowcasting
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +3
Precipitation nowcasting is crucial across various industries and plays a significant role in mitigating and adapting to climate change. We introduce an efficient deep learning mod…