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stat.ML2026
The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers
Minh Triet Pham, Ian Gallagher
Two of the most widely used methods for analysing graph data, Adjacency Spectral Embedding and Laplacian Spectral Embedding, often produce different results when applied to the sam…
stat.ML2022★ 1 cited
Spherical Sliced-Wasserstein
Clément Bonet, Paul Berg, Nicolas Courty +3
Many variants of the Wasserstein distance have been introduced to reduce its original computational burden. In particular the Sliced-Wasserstein distance (SW), which leverages one-…