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1811.01247
Cited By
Stochastic Neighbor Embedding under f-divergences
3 November 2018
Daniel Jiwoong Im
Nakul Verma
K. Branson
FedML
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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
26
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
15
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
104
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
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