3 papers
cs.LG2026
Mini-JEPA Foundation Model Fleet Enables Agentic Hydrologic Intelligence
Mashrekur Rahman
Geospatial foundation models compress multispectral observations into dense embeddings increasingly used in natural-language environmental reasoning systems. A single planetary-sca…
cs.CL2026
Characterizing AlphaEarth Embedding Geometry for Agentic Environmental Reasoning
Mashrekur Rahman, Samuel J. Barrett, Christina Last
Earth observation foundation models encode land surface information into dense embedding vectors, yet the geometric structure of these representations and its implications for down…
cs.CL2026
Physically Interpretable AlphaEarth Foundation Model Embeddings Enable LLM-Based Land Surface Intelligence
Mashrekur Rahman
Satellite foundation models produce dense embeddings whose physical interpretability remains poorly understood, limiting their integration into environmental decision systems. Usin…