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Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE

Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE

Aditya Ravuri
Neil D. Lawrence
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Papers citing "Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE"

8 / 8 papers shown
Title
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
Mohammad Tariqul Islam
Jason W. Fleischer
386
0
0
12 Mar 2025
White-Box Transformers via Sparse Rate Reduction
White-Box Transformers via Sparse Rate Reduction
Yaodong Yu
Sam Buchanan
Druv Pai
Tianzhe Chu
Ziyang Wu
Shengbang Tong
B. Haeffele
Yi Ma
ViT
87
86
0
01 Jun 2023
Dimensionality Reduction as Probabilistic Inference
Dimensionality Reduction as Probabilistic Inference
Aditya Ravuri
Francisco Vargas
V. Lalchand
Neil D. Lawrence
BDL
35
3
0
15 Apr 2023
From $t$-SNE to UMAP with contrastive learning
From tt-SNE to UMAP with contrastive learning
Sebastian Damrich
Jan Niklas Böhm
Fred Hamprecht
D. Kobak
SSL
79
23
0
03 Jun 2022
Representation Uncertainty in Self-Supervised Learning as Variational Inference
Representation Uncertainty in Self-Supervised Learning as Variational Inference
Hiroki Nakamura
Masashi Okada
T. Taniguchi
52
18
0
22 Mar 2022
A Probabilistic Graph Coupling View of Dimension Reduction
A Probabilistic Graph Coupling View of Dimension Reduction
Hugues van Assel
T. Espinasse
J. Chiquet
F. Picard
36
14
0
31 Jan 2022
On UMAP's true loss function
On UMAP's true loss function
Sebastian Damrich
Fred Hamprecht
64
39
0
26 Mar 2021
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
157
9,413
0
09 Feb 2018