3 papers
cs.LG2026
Do Location Encoders Capture Spatial Effects? A GeoShapley Benchmark Across Scales
Daniel Kiv, Shaowen Wang
Location encoders transform geographic coordinates into high dimensional embeddings for downstream machine learning, but it is unclear how well these representations capture interp…
cs.CV2026
Any Model, Any Place, Any Time: Get Remote Sensing Foundation Model Embeddings On Demand
Dingqi Ye, Daniel Kiv, Wei Hu +2
The remote sensing community is witnessing a rapid growth of foundation models, which provide powerful embeddings for a wide range of downstream tasks. However, practical adoption…
eess.SP2021
smol: Sensing Soil Moisture using LoRa
Daniel Kiv, Garvita Allabadi, Berkay Kaplan +1
Technologies for environmental and agricultural monitoring are on the rise, however, there is a lack of small, low-power, and lowcost sensing devices in the industry. One of these…