SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities

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SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities

Neural Information Processing Systems (NeurIPS), 2023

23 May 2023

Hugues van Assel

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Papers citing "SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities"

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Title
Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise Keyi Li Y. Kluger Boris Landa 204 0 0 24 Jul 2025
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear FormsNeural Information Processing Systems (NeurIPS), 2024 Chengyuan Deng Jie Gao Kevin Lu Feng Luo Hongbin Sun Cheng Xin 263 4 0 31 Dec 2024
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic RegularizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Duy-Tung Pham Thien Trang Nguyen Vu T. Nguyen Linh Ngo Van Duc Anh Nguyen Thien Huu Nguyen 243 10 0 29 Sep 2024
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping Jinghui Yuan Chusheng Zeng Fangyuan Xie Zhe Cao Mulin. Chen Rong Wang Feiping Nie Yuan Yuan 166 4 0 06 Aug 2024
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets Boris Landa Y. Kluger Rong Ma 194 1 0 01 Jul 2024
Inductive Global and Local Manifold Approximation and Projection Jungeum Kim Tianlin Li 221 2 0 12 Jun 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 257 9 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 174 0 0 05 Oct 2023
Optimal Transport with Adaptive Regularisation Hugues van Assel Titouan Vayer Rémi Flamary Nicolas Courty OT 183 2 0 04 Oct 2023