Abstract: We describe a multi-source and unsupervised domain adaptation method using Sinkhorn barycenters, which, given the labeled data in multi-source domains and unlabeled data in a target domain, ...

Abstract: Optimal Transport (OT) theory has seen increasing attention from the computer science community due to its potency and relevance in modeling and machine learning (ML). OT provides powerful ...

If asked what proportion of the Solar System’s mass was in the Sun, some people would check a reliable source, while others ...

Spatial statistics is the branch of data analysis concerned with observations that are tied to geographical or abstract spatial locations. Central to the field is the characterisation and modelling of ...

Scraping repository of the most relevant topics with regards to Spatio-Temporal Neural Networks available in the arXiv archive. The repository and workflow is based ...

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