Arjun Rao — accepted AI-conference papers

2026

Localized, High-resolution Geographic Representations with Slepian Functions

Arjun Rao, Ruth Crasto, Tessa Ooms, David Rolnick, Konstantin Klemmer, Marc Rußwurm

ICML 2026poster

Geographic data is fundamentally local. Disease outbreaks cluster in population centers, ecological patterns emerge along coastlines, and economic activity concentrates within country borders. Machine learning models that encode geographic location, however, distribute representational capacity unif…

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2026

Measuring the Intrinsic Dimension of Earth Representations

Arjun Rao, Marc Rußwurm, Konstantin Klemmer, Esther Rolf

ICLR 2026poster

Within the context of representation learning for Earth observation, geographic Implicit Neural Representations (INRs) embed low-dimensional location inputs (longitude, latitude) into high-dimensional embeddings, through models trained on geo-referenced satellite, image or text data. Despite the com…

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