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Konstantin Klemmer

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#machine learning Preprint Oct 2026

LoCA: Enabling Multi-Modality in Geospatial Location Encoders

LoCA (Location Contrastive Alignment), a two-stage pipeline that satisfies two requirements a regularizer must satisfy for location encoding in multimodal regimes: co-alignment across modalities, since adapters alone cannot align independently pretrained encoders; and high effective rank, since the location encoder inh...

Panagiotis Koromilas, Eleanna Vali, Diogenis Antonopoulos et al. · 0 citations
#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

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