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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) address this by learning smooth, general-purpose embeddings that can be queried at any coordinate. Downstream models combine these embeddi
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