Author

J. Ferres

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Preprint Oct 2026

Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend

Applying deep learning models to satellite imagery from within geographic information systems (GIS) remains high-friction for remote sensing practitioners. Models arrive in incompatible formats and target different compute environments, from local workstations to serverless cloud services. As a result, every evaluation...

satej soman, Akram Zaytar, G. Tadesse et al. · 0 citations

Review Sep 2026

The Living Library: Transforming Archival Collections into Conversational Knowledge Systems -- Lessons from the Theodore Roosevelt Presidential Library

The Living Library is presented, an end-to-end framework for transforming fragmented digital archives into governed, conversational, in-person exhibit experiences and a transferable model for transforming archival collections into believable, in-person conversational experiences.

Peng-Ce Wang, Lucia Ronchi Darre, Matt Briney et al. · 0 citations

Preprint Jul 2026

HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

This work presents HASTE (High-speed Assessment and Satellite Tracking for Emergencies), a no-code web platform that lets analysts who are not machine learning engineers produce per-building damage maps from post-disaster satellite imagery, and describes the platform, methods, and the engineering that supports them.

Caleb Robinson, Anthony Ortiz, S. Nsutezo et al. · 0 citations