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2011.01307
Cited By

The Mathematical Foundations of Manifold Learning

The Mathematical Foundations of Manifold Learning

30 October 2020

Luke Melas-Kyriazi

ArXiv (abs)PDF HTML

Papers citing "The Mathematical Foundations of Manifold Learning"

6 / 6 papers shown

FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective

FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective

148

0

0

07 Aug 2025

Dissecting embedding method: learning higher-order structures from data

Dissecting embedding method: learning higher-order structures from data

Liubov Tupikina

Kathuria Hritika

94

0

0

14 Oct 2024

Position: Cracking the Code of Cascading Disparity Towards Marginalized
Communities

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities

Mohammad Havaei

Negar Rostamzadeh

385

4

0

03 Jun 2024

Datacube segmentation via Deep Spectral Clustering

Datacube segmentation via Deep Spectral Clustering

Fernando García-Avello Bofías

Caterina Bracci

Michele Ginolfi

400

1

0

31 Jan 2024

ADEPT: A DEbiasing PrompT Framework

ADEPT: A DEbiasing PrompT FrameworkAAAI Conference on Artificial Intelligence (AAAI), 2022

409

35

0

10 Nov 2022

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
Semantic Segmentation and Localization

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationComputer Vision and Pattern Recognition (CVPR), 2022

Luke Melas-Kyriazi

Christian Rupprecht

Andrea Vedaldi

351

195

0

16 May 2022

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