activity
20182026
most citedTwo Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions

55 citations · 87 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

Partial recovery of meter-scale surface weather

Jonathan Giezendanner, Qidong Yang, Eric Schmitt +9

Near-surface weather varies over tens to hundreds of meters, yet remains unresolved in analyses and forecasts. We test whether this variation can be inferred without resolving atmo…

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

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.LG2025

Invariant Features for Global Crop Type Classification

Xin-Yi Tong, Sherrie Wang

Accurate global crop type mapping supports agricultural monitoring and food security, yet remains limited by the scarcity of labeled data in many regions. A key challenge is enabli…

cs.LG20242 cited

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.LG20217 cited

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Christopher Yeh, Chenlin Meng, Sherrie Wang +7

Progress toward the United Nations Sustainable Development Goals (SDGs) has been hindered by a lack of data on key environmental and socioeconomic indicators, which historically ha…