Extendable and invertible manifold learning with geometry regularized
autoencoders

Extendable and invertible manifold learning with geometry regularized autoencoders

14 July 2020

Andres F. Duque

Sacha Morin

Guy Wolf

Kevin R. Moon

Papers citing "Extendable and invertible manifold learning with geometry regularized autoencoders"

14 / 14 papers shown

Title
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun Danqi Liao Kincaid MacDonald Yanlei Zhang Chen Liu Guillaume Huguet Guy Wolf Ian M. Adelstein Tim G. J. Rudner Smita Krishnaswamy 36 3 0 16 Oct 2024
Pseudo-Non-Linear Data Augmentation via Energy Minimization Pingbang Hu Mahito Sugiyama 16 0 0 01 Oct 2024
Inductive Global and Local Manifold Approximation and Projection Jungeum Kim Xiao Wang 43 1 0 12 Jun 2024
A Geometric Perspective on Autoencoders Yonghyeon Lee 13 6 0 15 Sep 2023
Are We Using Autoencoders in a Wrong Way? Gabriele Martino Davide Moroni M. Martinelli 11 1 0 04 Sep 2023
Geometry-Aware Latent Representation Learning for Modeling Disease Progression of Barrett's Esophagus Vivien van Veldhuizen DRL 19 0 0 17 Mar 2023
EVNet: An Explainable Deep Network for Dimension Reduction Z. Zang Sheng-Hsien Cheng Linyan Lu Hanchen Xia Liangyu Li Yaoting Sun Yongjie Xu Lei Shang Baigui Sun Stan Z. Li FAtt 19 15 0 21 Nov 2022
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection Z. Zang Yongjie Xu Linyan Lu Yu Geng Senqiao Yang Stan Z. Li 25 12 0 08 Jul 2022
DLME: Deep Local-flatness Manifold Embedding Z. Zang Siyuan Li Di Wu Ge Wang Lei Shang Baigui Sun Haoyang Li Stan Z. Li 24 24 0 07 Jul 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference G. Huguet D. S. Magruder Alexander Tong O. Fasina Manik Kuchroo Guy Wolf Smita Krishnaswamy OT DRL 21 55 0 29 Jun 2022
Geometry- and Accuracy-Preserving Random Forest Proximities Jake S. Rhodes Adele Cutler Kevin R. Moon 19 70 0 29 Jan 2022
Learning shared neural manifolds from multi-subject FMRI data Je-chun Huang E. L. Busch Tom Wallenstein Michał Gerasimiuk Andrew Benz Guillaume Lajoie Guy Wolf Nicholas B. Turk-Browne Smita Krishnaswamy 16 17 0 22 Dec 2021
GenURL: A General Framework for Unsupervised Representation Learning Siyuan Li Zicheng Liu Z. Zang Di Wu Zhiyuan Chen Stan Z. Li OOD 3DGS OffRL 19 9 0 27 Oct 2021
Parametric UMAP embeddings for representation and semi-supervised learning Tim Sainburg Leland McInnes T. Gentner 7 212 0 27 Sep 2020