Summary of Pullback Flow Matching on Data Manifolds, by Friso De Kruiff et al.
Pullback Flow Matching on Data Manifoldsby Friso de Kruiff, Erik Bekkers, Ozan Öktem, Carola-Bibiane Schönlieb,…
Pullback Flow Matching on Data Manifoldsby Friso de Kruiff, Erik Bekkers, Ozan Öktem, Carola-Bibiane Schönlieb,…
Recovering Manifold Structure Using Ollivier-Ricci Curvatureby Tristan Luca Saidi, Abigail Hickok, Andrew J. BlumbergFirst submitted…
Self-Supervised Graph Embedding Clusteringby Fangfang Li, Quanxue Gao, Cheng Deng, Wei XiaFirst submitted to arxiv…
Isometric Immersion Learning with Riemannian Geometryby Zihao Chen, Wenyong Wang, Yu XiangFirst submitted to arxiv…
Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learningby Luca…
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learningby Duc…
Introduction to Machine Learningby Laurent YounesFirst submitted to arxiv on: 4 Sep 2024CategoriesMain: Machine Learning…
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networksby Jihee You, So…
IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrationsby Lukas Silvester Barth, Fatemeh, Fahimi, Parvaneh…
Inductive Global and Local Manifold Approximation and Projectionby Jungeum Kim, Xiao WangFirst submitted to arxiv…