Measure Before You Look: Grounding Embeddings Through Manifold Metrics
Published in NeurReps workshop & UniReps workshop @ NeurIPS 2025
Proposed a geometry-aware framework using intrinsic dimensionality metrics to assess embedding quality and show that Jacobian-regularized autoencoders yield embeddings that better preserve the original manifold structure.
