Author

Marc Rußwurm

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#machine learning Preprint Sep 2026

MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale

Geographic measurements are often sparse, leaving large areas without labels for the quantities we want to map. Geographic implicit neural representations (INRs) provide coordinate-based embeddings that can be combined with sparse labels to predict at unsampled locations without satellite imagery at inference. Yet exis...

Isaac Corley, Arjun Rao, Esther Rolf et al. · 1 citation

#machine learning Preprint Aug 2026

Foundation Models Meet Agriculture: Challenges Beyond Pretraining

Global food security and sustainable climate action increasingly rely on robust, scalable agricultural monitoring. Earth observation foundation models have emerged as powerful, label-efficient tools across general remote sensing domains, yet early attempts to deploy them for agricultural applications have yielded surpr...

Vishal Nedungadi, Xing-Kui Xiong, Marc Rußwurm et al. · 0 citations