Stochastic Neighbor Embedding under f-divergences

3 November 2018

Papers citing "Stochastic Neighbor Embedding under f-divergences"

11 / 11 papers shown

Title
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 182 0 0 18 Feb 2025
Convergence analysis of t-SNE as a gradient flow for point cloud on a manifold Seonghyeon Jeong Hau-tieng Wu 54 3 0 31 Jan 2024
Manifold learning: what, how, and why M. Meilă Hanyu Zhang 88 59 0 07 Nov 2023
Dimensionality Reduction using Elastic Measures J. Derek Tucker Matthew T. Martinez Jose M. Laborde 24 1 0 07 Sep 2022
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu Zhili Liu Fengwei Zhou Wei Cao Weiran Huang SSL 105 28 0 30 May 2022
Towards a comprehensive visualization of structure in data Joan Garriga F. Bartumeus 13 2 0 30 Nov 2021
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data T. Tony Cai Rong Ma 106 118 0 16 May 2021
Facilitate the Parametric Dimension Reduction by Gradient Clipping Chien-Hsun Lai Yu-Shuen Wang 15 0 0 30 Sep 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley BDL 55 9 0 22 Sep 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 99 54 0 17 Jul 2020
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations D. Kobak G. Linderman Stefan Steinerberger Y. Kluger Philipp Berens 86 38 0 15 Feb 2019