Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

25 December 2017

Papers citing "Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding"

23 / 23 papers shown

Title
Node Embeddings via Neighbor Embeddings Jan Niklas Böhm Marius Keute Alica Guzmán Sebastian Damrich Andrew Draganov D. Kobak GNN 57 0 0 31 Mar 2025
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu Rong Ma Yiqiao Zhong 60 0 0 22 Oct 2024
Online t-SNE for single-cell RNA-seq Hui Ma Kai Chen OnRL 26 0 0 21 Jun 2024
Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation Jonas Fischer Rong Ma 51 0 0 14 Jun 2024
Preserving local densities in low-dimensional embeddings Jonas Fischer R. Burkholz Jilles Vreeken 22 3 0 31 Jan 2023
An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases Futian Weng Yuanting Ma J. Sun Shijun Shan Qiyuan Li Jianping Zhu Yang Wang Yan Xu 34 0 0 20 Nov 2022
Unsupervised visualization of image datasets using contrastive learning Jan Boehm Philipp Berens D. Kobak SSL 26 15 0 18 Oct 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions Dapeng Yao Fangzheng Xie Yanxun Xu 33 1 0 21 Jul 2022
Uniform Manifold Approximation with Two-phase Optimization Hyeon Jeon Hyung-Kwon Ko S. Lee Jaemin Jo Jinwook Seo 32 13 0 01 May 2022
SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP Pierre Lambert Cyril de Bodt M. Verleysen J. Lee 9 4 0 24 Feb 2022
A Probabilistic Graph Coupling View of Dimension Reduction Hugues van Assel T. Espinasse J. Chiquet F. Picard 16 14 0 31 Jan 2022
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data T. Tony Cai Rong Ma 21 108 0 16 May 2021
Deep Recursive Embedding for High-Dimensional Data Zixia Zhou Yuanyuan Wang B. Lelieveldt Qian Tao 24 7 0 12 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots Samson Tan Shafiq R. Joty AAML 29 35 0 17 Mar 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization Yingfan Wang Haiyang Huang Cynthia Rudin Yaron Shaposhnik 161 301 0 08 Dec 2020
Parametric UMAP embeddings for representation and semi-supervised learning Tim Sainburg Leland McInnes T. Gentner 28 215 0 27 Sep 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 28 53 0 17 Jul 2020
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections Angelos Chatzimparmpas Rafael M. Martins Andreas Kerren 30 132 0 17 Feb 2020
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel Ye Zhu Kai Ming Ting 20 9 0 24 Jun 2019
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations D. Kobak G. Linderman Stefan Steinerberger Y. Kluger Philipp Berens 11 35 0 15 Feb 2019
bigMap: Big Data Mapping with Parallelized t-SNE Joan Garriga F. Bartumeus 19 4 0 24 Dec 2018
An algorithm for the principal component analysis of large data sets N. Halko P. Martinsson Y. Shkolnisky M. Tygert 68 277 0 30 Jul 2010