3 papers
cs.LG2026
Advancing Subseasonal Forecasting with Machine Learning
Hannah Guan, Soukayna Mouatadid, Paulo Orenstein +10
Decision-makers rely on weather forecasts to plant crops, manage wildfires, allocate water and energy, and prepare for weather extremes. Today, such forecasts enjoy unprecedented a…
math.ST2025
Improved Concentration for Mean Estimators via Shrinkage
Antônio Catão, Lucas Resende, Paulo Orenstein
We study a class of robust mean estimators obtained by adaptively shrinking the weights of sample points far from a base estimator . Given a data-dependent s…
cs.LG2025
Precipitation nowcasting of satellite data using physically-aligned neural networks
Antônio Catão, Melvin Poveda, Leonardo Voltarelli +1
Accurate short-term precipitation forecasts predominantly rely on dense weather-radar networks, limiting operational value in places most exposed to climate extremes. We present TU…