A Generalizable and Accessible Approach to Machine Learning with Global
Satellite Imagery

A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery

16 October 2020

Vaishaal Shankar

Miyabi Ishihara

Benjamin Recht

Papers citing "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery"

7 / 7 papers shown

Title
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks Johannes Dollinger Damien Robert Elena Plekhanova Lukas Drees Jan Dirk Wegner AI4CE 23 0 0 07 Apr 2025
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery Caleb Robinson Anthony Ortiz Allen Kim Rahul Dodhia Andrew Zolli Shivaprakash K. Nagaraju J. O J. Kiesecker J. L. Ferres 43 0 0 19 Mar 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings A. Dhakal S. Sastry Subash Khanal Adeel Ahmad Eric Xing Nathan Jacobs 39 0 0 27 Feb 2025
Program Evaluation with Remotely Sensed Outcomes Ashesh Rambachan Rahul Singh Davide Viviano 42 1 0 17 Nov 2024
General Geospatial Inference with a Population Dynamics Foundation Model Mohit Agarwal Mimi Sun C. Kamath Arbaaz Muslim Prithul Sarker ... Niv Efron Yossi Matias Greg C. Corrado Krish Eswaran Shruthi Prabhakara AI4CE 24 2 0 11 Nov 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning Nemin Wu Qian Cao Zhangyu Wang Zeping Liu Yanlin Qi ... Stefano Ermon T. Ganu A. Nambi Ni Lao Gengchen Mai 42 12 0 21 Jun 2024
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016