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A Probabilistic Graph Coupling View of Dimension Reduction
v1v2v3 (latest)

A Probabilistic Graph Coupling View of Dimension Reduction

Neural Information Processing Systems (NeurIPS), 2022
31 January 2022
Hugues van Assel
T. Espinasse
J. Chiquet
F. Picard
ArXiv (abs)PDFHTMLGithub

Papers citing "A Probabilistic Graph Coupling View of Dimension Reduction"

10 / 10 papers shown
Dimension Reduction with Locally Adjusted Graphs
Dimension Reduction with Locally Adjusted GraphsAAAI Conference on Artificial Intelligence (AAAI), 2024
Yingfan Wang
Yiyang Sun
Haiyang Huang
Cynthia Rudin
424
10
0
19 Dec 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspectiveNature Communications (Nat. Commun.), 2024
Zhexuan Liu
Rong Ma
Yiqiao Zhong
556
10
0
22 Oct 2024
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
521
7
0
27 May 2024
Entity Alignment with Unlabeled Dangling Cases
Entity Alignment with Unlabeled Dangling Cases
Hang Yin
Dong Ding
Liyao Xiang
Yuheng He
Yihan Wu
Xinbing Wang
Cheng Zhou
312
0
0
16 Mar 2024
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Hugues van Assel
Cédric Vincent-Cuaz
Nicolas Courty
Rémi Flamary
Pascal Frossard
Titouan Vayer
423
13
0
03 Feb 2024
Interpolating between Clustering and Dimensionality Reduction with
  Gromov-Wasserstein
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein
Hugues van Assel
Cédric Vincent-Cuaz
Titouan Vayer
Rémi Flamary
Nicolas Courty
268
0
0
05 Oct 2023
Kernel-Based Testing for Single-Cell Differential Analysis
Kernel-Based Testing for Single-Cell Differential AnalysisGenome Biology (Genome Biol.), 2023
Anthony Ozier-Lafontaine
Camille Fourneaux
G. Durif
Polina Arsenteva
C. Vallot
O. Gandrillon
Sandrine Giraud
Bertrand Michel
Franck Picard
351
10
0
17 Jul 2023
Matrix Information Theory for Self-Supervised Learning
Matrix Information Theory for Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2023
Yifan Zhang
Zhi-Hao Tan
Jingqin Yang
Weiran Huang
Yang Yuan
SSL
531
26
0
27 May 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
SNEkhorn: Dimension Reduction with Symmetric Entropic AffinitiesNeural Information Processing Systems (NeurIPS), 2023
Hugues van Assel
Titouan Vayer
Rémi Flamary
Nicolas Courty
461
12
0
23 May 2023
Contrastive Learning Is Spectral Clustering On Similarity Graph
Contrastive Learning Is Spectral Clustering On Similarity GraphInternational Conference on Learning Representations (ICLR), 2023
Zhi-Hao Tan
Yifan Zhang
Jingqin Yang
Yang Yuan
SSL
569
34
0
27 Mar 2023
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