activity
20232026
most citedMission Critical -- Satellite Data is a Distinct Modality in Machine Learning

16 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism

Chenwei Cui, Rockwell Jackson, Benjamin Joseph Herrera +2

Large language models have transformed many applications but remain expensive to train. Sparse Mixture of Experts (MoE) addresses this through conditional computation, with Expert…

cs.CV2025

Cropland Mapping using Geospatial Embeddings

Ivan Zvonkov, Gabriel Tseng, Inbal Becker-Reshef +1

Accurate and up-to-date land cover maps are essential for understanding land use change, a key driver of climate change. Geospatial embeddings offer a more efficient and accessible…

cs.CV2025

GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI

Naomi Simumba, Nils Lehmann, Paolo Fraccaro +9

Geospatial Foundation Models (GeoFMs) are transforming Earth Observation (EO), but evaluation lacks standardized protocols. GEO-Bench-2 addresses this with a comprehensive framewor…

cs.LG2024★ 16 cited

Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Esther Rolf, Konstantin Klemmer, Caleb Robinson +1

Satellite data has the potential to inspire a seismic shift for machine learning -- one in which we rethink existing practices designed for traditional data modalities. As machine…

cs.CY2023★ 11 cited

Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War

Hannah Kerner, Catherine Nakalembe, Benjamin Yeh +4

The Tigray War was an armed conflict that took place primarily in the Tigray region of northern Ethiopia from November 3, 2020 to November 2, 2022. Given the importance of agricult…