Paper
Dados & Embeddings
The Data Manifold under the Microscope
A benchmarking framework is introduced to study data-manifold geometry by extending dSprites and COIL-20 datasets with additional transformation dimensions and dense sampling, enab…
Hugging Face · Daily Papers
·Marios Koulakis, Constantin Seibold
·
·▲ 3 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Marios Koulakis, Constantin Seibold
- 3 upvotes da comunidade
- Temas: manifold hypothesis, intrinsic dimension, curvature, reach, volume, dSprites
Resumo
Resumo original (em inglês), extraído do paper:
A benchmarking framework is introduced to study data-manifold geometry by extending dSprites and COIL-20 datasets with additional transformation dimensions and dense sampling, enabling accurate estimation of curvature, reach, and volume for theoretical analysis and validation.
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