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A Probabilistic Graph Coupling View of Dimension Reduction
31 January 2022
Hugues van Assel
T. Espinasse
J. Chiquet
F. Picard
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Papers citing
"A Probabilistic Graph Coupling View of Dimension Reduction"
10 / 10 papers shown
Title
Dimension Reduction with Locally Adjusted Graphs
Yingfan Wang
Yiyang Sun
Haiyang Huang
Cynthia Rudin
136
1
0
19 Dec 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Zhexuan Liu
Rong Ma
Yiqiao Zhong
154
1
0
22 Oct 2024
Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE
Aditya Ravuri
Neil D. Lawrence
116
2
0
27 May 2024
Entity Alignment with Unlabeled Dangling Cases
Hang Yin
Dong Ding
Liyao Xiang
Yuheng He
Yihan Wu
Xinbing Wang
Cheng Zhou
110
1
0
16 Mar 2024
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Hugues van Assel
Cédric Vincent-Cuaz
Nicolas Courty
Rémi Flamary
Pascal Frossard
Titouan Vayer
63
5
0
03 Feb 2024
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein
Hugues van Assel
Cédric Vincent-Cuaz
Titouan Vayer
Rémi Flamary
Nicolas Courty
64
0
0
05 Oct 2023
Kernel-Based Testing for Single-Cell Differential Analysis
Anthony Ozier-Lafontaine
Camille Fourneaux
G. Durif
Polina Arsenteva
C. Vallot
O. Gandrillon
Sandrine Giraud
Bertrand Michel
Franck Picard
46
5
0
17 Jul 2023
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang
Zhi-Hao Tan
Jingqin Yang
Weiran Huang
Yang Yuan
SSL
119
19
0
27 May 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
Hugues van Assel
Titouan Vayer
Rémi Flamary
Nicolas Courty
87
9
0
23 May 2023
Contrastive Learning Is Spectral Clustering On Similarity Graph
Zhi-Hao Tan
Yifan Zhang
Jingqin Yang
Yang Yuan
SSL
123
18
0
27 Mar 2023
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