activity
20242026
collaborators

5 papers

cs.LG2026

Observation-driven correction of numerical weather prediction for marine winds

Matteo Peduto, Qidong Yang, Jonathan Giezendanner +2

Accurate marine wind forecasts are essential for safe navigation, ship routing, and energy operations, yet they remain challenging because observations over the ocean are sparse, h…

cs.LG2026

Partial recovery of meter-scale surface weather

Jonathan Giezendanner, Qidong Yang, Eric Schmitt +7

Near-surface atmospheric conditions can differ sharply over tens to hundreds of meters due to land cover and topography, yet this variability is absent from current weather analyse…

cs.LG2026

Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation

Qidong Yang, Qianyu Julie Zhu, Jonathan Giezendanner +3

Conditional generative models map input variables to complex, high-dimensional distributions, enabling realistic sample generation in a diverse set of domains. A critical challenge…

cs.LG2025

Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data

Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese +8

Urgent applications like wildfire management and renewable energy generation require precise, localized weather forecasts near the Earth's surface. However, forecasts produced by m…

cs.LG2024

A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction

Qidong Yang, Weicheng Zhu, Joseph Keslin +3

Probabilistic prediction of sequences from images and other high-dimensional data is a key challenge, particularly in risk-sensitive applications. In these settings, it is often de…