South America
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution Julien Cornebise University College London & Why How Ltd j.cornebise@ucl.ac.uk Ivan Oršoli c
The largest and most varied such publicly available dataset, at Airbus SPOT 6/7 satellites' high resolution of up to 1.5 m/pixel, empowered by European Space Agency's (ESA) Phi-Lab as part of the ESA-funded
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
Matrix square roots and their inverses arise frequently in machine learning, e.g.,
SEVIR: A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology Mark S. Veillette
Modern deep learning approaches have shown promising results in meteorological applications like precipitation nowcasting, synthetic radar generation, front detection and several others. In order to effectively train and validate these complex algorithms, large and diverse datasets containing high-resolution imagery are required.
Optimal Efficiency-Envy Trade-Off via Optimal Transport
In addition to this matching distribution constraint, we also require that the recipient's
Contextual Games: Multi-Agent Learning with Side Information
Motivated by these considerations, we introduce the new class of contextual games .
Well-tuned Simple Nets Excel on Tabular Datasets
Tabular datasets are the last "unconquered castle" for deep learning, with traditional
