DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling

16 November 2017

Papers citing "DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling"

7 / 7 papers shown

Title
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation Junjie Chen Yuecong Xu Yiming Li Kemi Ding 3DPC 51 0 0 02 Apr 2025
Pulling back symmetric Riemannian geometry for data analysis W. Diepeveen 32 2 0 11 Mar 2024
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 29 0 0 29 Dec 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 30 13 0 08 Jul 2022
Learning Signal-Agnostic Manifolds of Neural Fields Yilun Du Katherine M. Collins J. Tenenbaum Vincent Sitzmann MedIm 29 47 0 11 Nov 2021
Parametric UMAP embeddings for representation and semi-supervised learning Tim Sainburg Leland McInnes T. Gentner 31 217 0 27 Sep 2020
Extendable and invertible manifold learning with geometry regularized autoencoders Andres F. Duque Sacha Morin Guy Wolf Kevin R. Moon 22 25 0 14 Jul 2020