Neural latent geometry search: product manifold inference via Gromov-Hausdorff-informed Bayesian optimization

Neural latent geometry search: product manifold inference via Gromov-Hausdorff-informed Bayesian optimization

Recent research indicates that the performance of machine learning models can be improved by aligning the geometry of the latent space with the underlying data structure. Rather than relying solely on Euclidean space, researchers have proposed using hyperbolic and spherical spaces with constant curv...

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Bibliografiske detaljer
Main Authors:	Sáez de Ocáriz Borde, H, Arroyo, Á, Morales López, I, Posner, I, Dong, X
Format:	Conference item
Sprog:	English
Udgivet:	Neural Information Processing Systems Foundation 2024

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