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Maria Despoina Siampou

2 accepted papers

2026

Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement

ICML 2026poster

Recent progress in geospatial foundation models highlights the importance of learning general-purpose representations for real-world locations, particularly points-of-interest (POIs) where human activity concentrates. Existing approaches, however, focus primarily on place identity derived from stati…

Cited by 0SourceScholar
2025

Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications

ICML 2025poster

Encoding geospatial objects is fundamental for geospatial artificial intelligence (GeoAI) applications, which leverage machine learning (ML) models to analyze spatial information. Common approaches transform each object into known formats, like image and text, for compatibility with ML models. Howev…

Cited by 0SourcePDFScholar