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2007.08902
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Attraction-Repulsion Spectrum in Neighbor Embeddings
Journal of machine learning research (JMLR), 2020
17 July 2020
Jan Niklas Böhm
Philipp Berens
D. Kobak
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Papers citing
"Attraction-Repulsion Spectrum in Neighbor Embeddings"
32 / 32 papers shown
The Tree-SNE Tree Exists
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Why Can't I See My Clusters? A Precision-Recall Approach to Dimensionality Reduction Validation
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Alessio Arleo
Fernando Paulovich
148
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Cluster and then Embed: A Modular Approach for Visualization
Elizabeth Coda
E. Arias-Castro
Gal Mishne
167
1
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DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction
Noël Kury
D. Kobak
Sebastian Damrich
141
2
0
19 Aug 2025
Node Embeddings via Neighbor Embeddings
Jan Niklas Böhm
Marius Keute
Alica Guzmán
Sebastian Damrich
Andrew Draganov
D. Kobak
GNN
382
1
0
31 Mar 2025
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
Mohammad Tariqul Islam
Jason W. Fleischer
1.2K
3
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12 Mar 2025
Navigating the Effect of Parametrization for Dimensionality Reduction
Neural Information Processing Systems (NeurIPS), 2024
Haiyang Huang
Yingfan Wang
Cynthia Rudin
318
5
0
24 Nov 2024
Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions
Jingcheng Lu
Jeff Calder
322
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0
15 Nov 2024
Large data limits and scaling laws for tSNE
Ryan Murray
Adam Pickarski
303
3
0
16 Oct 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Neural Information Processing Systems (NeurIPS), 2024
Ziwei Li
Xiaoqi Wang
Hong-You Chen
Han-Wei Shen
Wei-Lun Chao
FedML
458
1
0
17 Sep 2024
Outlier Detection in Large Radiological Datasets using UMAP
Mohammad Tariqul Islam
Jason W. Fleischer
452
2
0
31 Jul 2024
Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation
Jonas Fischer
Rong Ma
310
1
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14 Jun 2024
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings
David Liu
Arjun Seshadri
Tina Eliassi-Rad
J. Ugander
455
1
0
30 Apr 2024
Graph Vertex Embeddings: Distance, Regularization and Community Detection
Radoslaw Nowak
Adam Malkowski
Daniel Cie'slak
Piotr Sokól
Pawel Wawrzyñski
157
1
0
09 Apr 2024
Curvature Augmented Manifold Embedding and Learning
Yongming Liu
MedIm
339
6
0
21 Mar 2024
Convergence analysis of t-SNE as a gradient flow for point cloud on a manifold
Seonghyeon Jeong
Hau-tieng Wu
253
5
0
31 Jan 2024
Accelerating hyperbolic t-SNE
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Martin Skrodzki
Hunter van Geffen
Nicolas F. Chaves-de-Plaza
T. Höllt
E. Eisemann
Klaus Hildebrandt
277
12
0
23 Jan 2024
Manifold learning: what, how, and why
Annual Review of Statistics and Its Application (ARSIA), 2023
M. Meilă
Hanyu Zhang
283
130
0
07 Nov 2023
Persistent Homology for High-dimensional Data Based on Spectral Methods
Neural Information Processing Systems (NeurIPS), 2023
Sebastian Damrich
Philipp Berens
D. Kobak
372
7
0
06 Nov 2023
Supervised Stochastic Neighbor Embedding Using Contrastive Learning
Yi Zhang
SSL
172
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0
15 Sep 2023
Class-constrained t-SNE: Combining Data Features and Class Probabilities
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Linhao Meng
S. V. D. Elzen
Nicola Pezzotti
Anna Vilanova
284
26
0
26 Aug 2023
Relating tSNE and UMAP to Classical Dimensionality Reduction
Andrew Draganov
Simon Dohn
FAtt
503
6
0
20 Jun 2023
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization
Yin-Ting Liao
Hengrui Luo
A. Ma
291
3
0
01 Jun 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Neural Information Processing Systems (NeurIPS), 2023
G. Huguet
Alexander Tong
E. Brouwer
Yanlei Zhang
Guy Wolf
Ian M. Adelstein
Smita Krishnaswamy
DiffM
261
11
0
30 May 2023
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
International Symposiu on Visual Information Communication and Interaction (SVICI), 2023
Tillmann Ohm
M. Sola
Andres Karjus
Maximilian Schich
180
10
0
11 May 2023
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection
Yang Yang
Hongjian Sun
Jialei Gong
Di Yu
FAtt
288
5
0
17 Nov 2022
Unsupervised visualization of image datasets using contrastive learning
International Conference on Learning Representations (ICLR), 2022
Jan Boehm
Philipp Berens
D. Kobak
SSL
471
29
0
18 Oct 2022
ParaDime: A Framework for Parametric Dimensionality Reduction
A. Hinterreiter
Christina Humer
Bernhard Kainz
M. Streit
263
9
0
10 Oct 2022
On the Selection of Tuning Parameters for Patch-Stitching Embedding Methods
E. Arias-Castro
Phong Alain Chau
206
0
0
14 Jul 2022
From
t
t
t
-SNE to UMAP with contrastive learning
International Conference on Learning Representations (ICLR), 2022
Sebastian Damrich
Jan Niklas Böhm
Fred Hamprecht
D. Kobak
SSL
452
33
0
03 Jun 2022
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder
Q. Garrido
Sebastian Damrich
Alexander Jäger
Dario Cerletti
Manfred Claassen
Laurent Najman
Fred Hamprecht
243
6
0
11 Feb 2021
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