t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data

31 July 2018

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Papers citing "t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data"

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Title
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 285 2 0 21 Feb 2025
Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Luca Reichmann David Hägele Daniel Weiskopf 408 1 0 07 Aug 2024
Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding D. Peng Zhipeng Gui Wenzhang Wei Huayi Wu 108 1 0 02 Jan 2024
cuSLINK: Single-linkage Agglomerative Clustering on the GPU Corey J. Nolet Divye Gala Alexandre Fender Mahesh M. Doijade Joe Eaton Edward Raff John Zedlewski Brad Rees Tim Oates 21 5 0 28 Jun 2023
Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution Fahai Zhong Mingliang Xue Jian Zhang Fan Zhang Rui Ban Oliver Deussen Yunhai Wang 63 8 0 05 Mar 2023
Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs Narendra Chaudhary Alexander Pivovar Pavel Yakovlev Andrey Gorshkov Sanchit Misra 23 0 0 22 Dec 2022
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data S. Hashim Karthik Nandakumar Mohammad Yaqub SyDa 29 5 0 03 Oct 2022
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation Bum Chul Kwon Jungsoo Lee Chaeyeon Chung Nyoungwoo Lee Ho-Jin Choi Jaegul Choo 76 10 0 14 Sep 2022
IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimation Luciano Dyballa Steven W. Zucker 72 10 0 19 Aug 2022
From $t$ -SNE to UMAP with contrastive learning Sebastian Damrich Jan Niklas Böhm Fred Hamprecht D. Kobak SSL 98 23 0 03 Jun 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification S. Hashim Muhammad Ali Karthik Nandakumar Mohammad Yaqub 74 3 0 03 Feb 2022
A Probabilistic Graph Coupling View of Dimension Reduction Hugues van Assel T. Espinasse J. Chiquet F. Picard 75 14 0 31 Jan 2022
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM Adam Šmelko Sona Molnárová Miroslav Kratochvíl A. Koladiya J. Musil Martin Kruliš J. Vondrášek 68 0 0 03 Jan 2022
Visualizing the embedding space to explain the effect of knowledge distillation Hyun Seung Lee C. Wallraven 65 1 0 09 Oct 2021
Unsupervised Continual Learning in Streaming Environments Andri Ashfahani Mahardhika Pratama 52 21 0 20 Sep 2021
An Analytical Survey on Recent Trends in High Dimensional Data Visualization Alex B. Kiefer Md. Khaledur Rahman AI4TS 36 2 0 05 Jul 2021
Credit Assignment Through Broadcasting a Global Error Vector David G. Clark L. F. Abbott SueYeon Chung 89 23 0 08 Jun 2021
Deep Recursive Embedding for High-Dimensional Data Zixia Zhou Yuanyuan Wang B. Lelieveldt Qian Tao 49 8 0 12 Apr 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 99 3 0 04 Jan 2021
Sketch and Scale: Geo-distributed tSNE and UMAP Viska Wei Nikita Ivkin Vladimir Braverman A. Szalay 31 4 0 11 Nov 2020
Bringing UMAP Closer to the Speed of Light with GPU Acceleration Corey J. Nolet V. Lafargue Edward Raff Thejaswi Nanditale Tim Oates John Zedlewski Joshua Patterson 91 35 0 01 Aug 2020
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections Angelos Chatzimparmpas Rafael M. Martins Andreas Kerren 101 137 0 17 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 113 505 0 12 Feb 2020
bigMap: Big Data Mapping with Parallelized t-SNE Joan Garriga F. Bartumeus 41 4 0 24 Dec 2018