mlsanityData to 14 Oct 2026

Manifold-aligned Neighbor Embedding

arXiv 2205.11257 ↗First posted 19 May 2022cs.LGcited by 7

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Abstract (arXiv)

In this paper, we introduce a neighbor embedding framework for manifold alignment. We demonstrate the efficacy of the framework using a manifold-aligned version of the uniform manifold approximation and projection algorithm. We show that our algorithm can learn an aligned manifold that is visually competitive to embedding of the whole dataset.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 19 May 2022.

Builds on

3 of 12 references.

References · 3

  1. 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,349
  2. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  3. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,898

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 2; 2026: 2.

7 papers.

  1. 2023ANTM: An Aligned Neural Topic Model for Exploring Evolving Topicscited by 6
  2. 2025The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reductioncited by 5
  3. 2024Outlier Detection in Large Radiological Datasets using UMAPcited by 3
  4. 2025Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmiascited by 1
  5. 2024Lens functions for exploring UMAP Projections with Domain Knowledgecited by 0
  6. 2026Sobolev--Ricci Curvaturecited by 0
  7. 2026On Out-of-sample Embedding in UMAPcited by 0