Manifold learning: what, how, and why

7 November 2023

Papers citing "Manifold learning: what, how, and why"

22 / 22 papers shown

Title
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization Ren Wang Pengcheng Zhou 39 0 0 07 May 2025
IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation Zihao Chen Wenyong Wang Jiachen Yang Yu Xiang 34 0 0 07 May 2025
The When and How of Target Variable Transformations Loren Nuyts Jesse Davis 31 0 0 29 Apr 2025
Cryo-em images are intrinsically low dimensional Luke Evans Octavian-Vlad Murad Lars Dingeldein Pilar Cossio Roberto Covino Marina Meila AI4CE 38 0 0 15 Apr 2025
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data Jose Cribeiro-Ramallo Federico Matteucci Paul Enciu Alexander Jenke Vadim Arzamasov Thorsten Strufe Klemens Böhm 31 0 0 10 Apr 2025
Analytical Discovery of Manifold with Machine Learning Yafei Shen Huan-Fei Ma Ling Yang 41 0 0 03 Apr 2025
Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing Hui Chen Liangyu Liu Xianchao Xiu Wanquan Liu 54 0 0 25 Mar 2025
Supervised Manifold Learning for Functional Data Ruoxu Tan Yiming Zang 36 0 0 23 Mar 2025
Structure-preserving contrastive learning for spatial time series Yiru Jiao Sander van Cranenburgh Simeon C. Calvert H. Lint AI4TS 97 0 0 10 Feb 2025
Mask-informed Deep Contrastive Incomplete Multi-view Clustering Zhenglai Li Yuqi Shi Xiao He Chang-Fu Tang 79 0 0 04 Feb 2025
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques Tuğçe Gökdemir Jakub Rydzewski 36 1 0 31 Dec 2024
Pseudo-Non-Linear Data Augmentation via Energy Minimization Pingbang Hu Mahito Sugiyama 26 0 0 01 Oct 2024
Strong denoising of financial time-series Matthias J. Feiler 25 0 0 11 Aug 2024
Towards aerodynamic surrogate modeling based on $β$ -variational autoencoders Víctor Francés-Belda Alberto Solera-Rico Javier Nieto-Centenero Esther Andrés Carlos Sanmiguel Vila Rodrigo Castellanos AI4CE 31 0 0 09 Aug 2024
A review of unsupervised learning in astronomy Sotiria Fotopoulou 43 8 0 25 Jun 2024
Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation Jonas Fischer Rong Ma 51 0 0 14 Jun 2024
Inductive Global and Local Manifold Approximation and Projection Jungeum Kim Tianlin Li 51 1 0 12 Jun 2024
Geometric Neural Operators (GNPs) for Data-Driven Deep Learning of Non-Euclidean Operators Blaine Quackenbush P. Atzberger AI4CE 33 0 0 16 Apr 2024
Datacube segmentation via Deep Spectral Clustering A. Bombini Fernando García-Avello Bofías Caterina Bracci Michele Ginolfi Chiara Ruberto 90 1 0 31 Jan 2024
A statistical framework for analyzing shape in a time series of random geometric objects Anne van Delft Andrew J. Blumberg 21 2 0 04 Apr 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 30 6 0 16 Feb 2023
Minimax Rates for Estimating the Dimension of a Manifold Jisu Kim Alessandro Rinaldo Larry A. Wasserman 166 24 0 03 May 2016