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Gustavo Rohde

2 accepted papers

2024

LCOT: Linear Circular Optimal Transport

ICLR 2024poster

The optimal transport problem for measures supported on non-Euclidean spaces has recently gained ample interest in diverse applications involving representation learning. In this paper, we focus on circular probability measures, i.e., probability measures supported on the unit circle, and introduce…

Cited by 4SourcePDFScholar
2019

Generalized Sliced Wasserstein Distances

NeurIPS 2019poster

The Wasserstein distance and its variations, e.g., the sliced-Wasserstein (SW) distance, have recently drawn attention from the machine learning community. The SW distance, specifically, was shown to have similar properties to the Wasserstein distance, while being much simpler to compute, and is the…