On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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3 results for “inter-manifold”

Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clusteringcs.LG

Proposes a method to cluster multi-aspect data using manifold learning with NMF.

problem Clustering multi-aspect data with diverse features and views.

method Includes inter-manifold learning in NMF framework to handle different data types.

result The method improves clustering accuracy and efficiency on various datasets.

manifold learning Non-negative Matrix Factorization (NMF)multi-aspect data clustering inter-manifold

2020-09-07abs ↗pdf ↗

The Shape of Data: Intrinsic Distance for Data Distributionsstat.ML

The ability to represent and compare machine learning models is crucial in order to quantify subtle model changes, evaluate generative models, and gather insights on neural network architectures. Existing techniques for comparing data distributions focus on global data properties such as mean and covariance; in that se…

2019-05-27abs ↗pdf ↗

Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservationcs.LG

GCML preserves geometric structure in manifold clustering for diverse data types.

problem Loss functions in manifold clustering can corrupt latent space structure.

method GCML framework with isometric and ranking losses for geometric structure preservation.

result GCML outperforms other methods in latent space structure preservation and performance metrics.

manifold learning geometric structure clustering latent space isometric loss

2020-09-21abs ↗pdf ↗