ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.01768
  4. Cited By
An Analysis of the t-SNE Algorithm for Data Visualization
v1v2 (latest)

An Analysis of the t-SNE Algorithm for Data Visualization

5 March 2018
Sanjeev Arora
Wei Hu
Pravesh Kothari
ArXiv (abs)PDFHTML

Papers citing "An Analysis of the t-SNE Algorithm for Data Visualization"

44 / 44 papers shown
Title
The interplay of robustness and generalization in quantum machine learning
Julian Berberich
Tobias Fellner
Christian Holm
AAML
45
0
0
10 Jun 2025
Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
Yi Gu
22
0
0
30 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
418
0
0
04 May 2025
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
Mohammad Tariqul Islam
Jason W. Fleischer
447
0
0
12 Mar 2025
Convergence Guarantees for the DeepWalk Embedding on Block Models
Convergence Guarantees for the DeepWalk Embedding on Block Models
Christopher Harker
Aditya Bhaskara
56
0
0
26 Oct 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Zhexuan Liu
Rong Ma
Yiqiao Zhong
154
1
0
22 Oct 2024
MIK: Modified Isolation Kernel for Biological Sequence Visualization,
  Classification, and Clustering
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering
Sarwan Ali
Prakash Chourasia
Haris Mansoor
Bipin Koirala
Murray Patterson
411
0
0
21 Oct 2024
Large data limits and scaling laws for tSNE
Large data limits and scaling laws for tSNE
Ryan Murray
Adam Pickarski
44
3
0
16 Oct 2024
Can We Leave Deepfake Data Behind in Training Deepfake Detector?
Can We Leave Deepfake Data Behind in Training Deepfake Detector?
Jikang Cheng
Zhiyuan Yan
Ying Zhang
Yuhao Luo
Zhongyuan Wang
Chen Li
77
14
0
30 Aug 2024
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
Yufan Shen
Chuwei Luo
Zhaoqing Zhu
Yang Chen
Qi Zheng
Zhi Yu
Jiajun Bu
Cong Yao
135
2
0
17 Jul 2024
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
Rangel Daroya
Aaron Sun
Subhransu Maji
96
0
0
25 Mar 2024
The Geometric Structure of Topic Models
The Geometric Structure of Topic Models
Johannes Hirth
Tom Hanika
74
0
0
06 Mar 2024
Authentication and integrity of smartphone videos through multimedia
  container structure analysis
Authentication and integrity of smartphone videos through multimedia container structure analysis
Carlos Quinto Huamán
A. L. Sandoval Orozco
Luis Javier Garcia Villalba
33
16
0
05 Feb 2024
Convergence analysis of t-SNE as a gradient flow for point cloud on a
  manifold
Convergence analysis of t-SNE as a gradient flow for point cloud on a manifold
Seonghyeon Jeong
Hau-tieng Wu
51
3
0
31 Jan 2024
Universal Deoxidation of Semiconductor Substrates Assisted by
  Machine-Learning and Real-Time-Feedback-Control
Universal Deoxidation of Semiconductor Substrates Assisted by Machine-Learning and Real-Time-Feedback-Control
Chaorong Shen
Wenkang Zhan
Jian Tang
Zhaofeng Wu
Bop Xu
Chao Zhao
Zhanguo Wang
56
0
0
04 Dec 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML
  Research
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research
Hariharan Subramonyam
Jessica Hullman
VLMHAI
50
8
0
10 Aug 2023
Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature
  Selection
Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection
Gaurav Srivastava
Mahesh Jangid
16
2
0
29 Jul 2023
Preserving local densities in low-dimensional embeddings
Preserving local densities in low-dimensional embeddings
Jonas Fischer
R. Burkholz
Jilles Vreeken
49
3
0
31 Jan 2023
A Spectral Method for Assessing and Combining Multiple Data
  Visualizations
A Spectral Method for Assessing and Combining Multiple Data Visualizations
Rong Ma
Eric D. Sun
James Zou
62
11
0
25 Oct 2022
Indoor Smartphone SLAM with Learned Echoic Location Features
Indoor Smartphone SLAM with Learned Echoic Location Features
W. Luo
Qun Song
Zhenyu Yan
Rui Tan
Guosheng Lin
MDE
54
7
0
16 Oct 2022
IAN: Iterated Adaptive Neighborhoods for manifold learning and
  dimensionality estimation
IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimation
Luciano Dyballa
Steven W. Zucker
72
10
0
19 Aug 2022
May the force be with you
May the force be with you
Yulan Zhang
Anna C. Gilbert
Stefan Steinerberger
25
0
0
13 Aug 2022
Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data
  Visualization
Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization
Yan Sun
Yi Han
Jicong Fan
55
8
0
25 Jul 2022
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor
  Embedding
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
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
139
5
0
18 Apr 2022
Semantic properties of English nominal pluralization: Insights from word
  embeddings
Semantic properties of English nominal pluralization: Insights from word embeddings
Elnaz Shafaei-Bajestan
Masoumeh Moradipour Tari
Peter Uhrig
R. Baayen
57
7
0
29 Mar 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding
Rongkai Ma
95
9
0
28 Feb 2022
A Probabilistic Graph Coupling View of Dimension Reduction
A Probabilistic Graph Coupling View of Dimension Reduction
Hugues van Assel
T. Espinasse
J. Chiquet
F. Picard
66
14
0
31 Jan 2022
Revisiting Dimensionality Reduction Techniques for Visual Cluster
  Analysis: An Empirical Study
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Jiazhi Xia
Yuchen Zhang
Jie Song
Yang Chen
Yunhai Wang
Shixia Liu
69
47
0
06 Oct 2021
T-SNE Is Not Optimized to Reveal Clusters in Data
T-SNE Is Not Optimized to Reveal Clusters in Data
Zhirong Yang
Yuwei Chen
J. Corander
DRL
47
4
0
06 Oct 2021
Multidimensional Scaling: Approximation and Complexity
Multidimensional Scaling: Approximation and Complexity
Erik D. Demaine
Adam Hesterberg
Frederic Koehler
J. Lynch
John C. Urschel
28
9
0
23 Sep 2021
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in
  Structural Engineering
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
P. Hajibabaee
Farhad Pourkamali Anaraki
M. A. Hariri-Ardebili
48
34
0
18 Sep 2021
Theoretical Foundations of t-SNE for Visualizing High-Dimensional
  Clustered Data
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai
Rong Ma
106
118
0
16 May 2021
t-SNE, Forceful Colorings and Mean Field Limits
t-SNE, Forceful Colorings and Mean Field Limits
Yulan Zhang
Stefan Steinerberger
60
12
0
25 Feb 2021
Attraction-Repulsion Spectrum in Neighbor Embeddings
Attraction-Repulsion Spectrum in Neighbor Embeddings
Jan Niklas Böhm
Philipp Berens
D. Kobak
88
54
0
17 Jul 2020
Company classification using machine learning
Company classification using machine learning
S. Husmann
A. Shivarova
R. Steinert
43
11
0
31 Mar 2020
Metric Learning for Adversarial Robustness
Metric Learning for Adversarial Robustness
Chengzhi Mao
Ziyuan Zhong
Junfeng Yang
Carl Vondrick
Baishakhi Ray
OOD
94
188
0
03 Sep 2019
Improving the Effectiveness and Efficiency of Stochastic Neighbour
  Embedding with Isolation Kernel
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
Ye Zhu
Kai Ming Ting
65
9
0
24 Jun 2019
bigMap: Big Data Mapping with Parallelized t-SNE
bigMap: Big Data Mapping with Parallelized t-SNE
Joan Garriga
F. Bartumeus
41
4
0
24 Dec 2018
Stochastic Neighbor Embedding under f-divergences
Stochastic Neighbor Embedding under f-divergences
Daniel Jiwoong Im
Nakul Verma
K. Branson
FedML
69
20
0
03 Nov 2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric
  Bounds
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Kry Yik-Chau Lui
G. Ding
Ruitong Huang
R. McCann
15
7
0
31 Oct 2018
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data
David M. Chan
Roshan Rao
Forrest Huang
John F. Canny
64
96
0
31 Jul 2018
A more globally accurate dimensionality reduction method using triplets
A more globally accurate dimensionality reduction method using triplets
Ehsan Amid
Manfred K. Warmuth
31
16
0
01 Mar 2018
A General Hybrid Clustering Technique
A General Hybrid Clustering Technique
Saeid Amiri
B. Clarke
J. Clarke
H. Koepke
46
8
0
04 Mar 2015
1