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...
| Auteurs principaux: | , , , , |
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| Format: | Conference item |
| Langue: | English |
| Publié: |
Neural Information Processing Systems Foundation
2024
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