Topological Deep Learning: A Review of an Emerging Paradigm

Topological Deep Learning: A Review of an Emerging Paradigm

8 February 2023

Abdelwahed Khamis

James A. Nichols

Papers citing "Topological Deep Learning: A Review of an Emerging Paradigm"

10 / 10 papers shown

Title
Topology of Out-of-Distribution Examples in Deep Neural Networks Esha Datta Johanna Hennig Eva Domschot Connor Mattes Michael R. Smith 72 0 0 21 Jan 2025
A Metric Topology of Deep Learning for Data Classification Jwo-Yuh Wu L. Huang Wen-Hsuan Li Chun-Hung Liu 76 0 0 20 Jan 2025
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity Tianqi Shen Shaohua Liu Jiaqi Feng Ziye Ma Ning An 79 0 0 21 Dec 2024
A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams An Wu Yu Pan Fuqi Zhou Jinghui Yan Chuanlu Liu 11 0 0 31 Jul 2024
Rapid and Precise Topological Comparison with Merge Tree Neural Networks Yu Qin Brittany Terese Fasy C. Wenk Brian Summa 29 4 0 08 Apr 2024
Machine Learning and Data Analysis Using Posets: A Survey Arnauld Mesinga Mwafise AI4CE 35 0 0 03 Apr 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 59 25 0 14 Feb 2024
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 18 1 0 20 Jul 2023
Data Topology-Dependent Upper Bounds of Neural Network Widths Sangmin Lee Jong Chul Ye 26 0 0 25 May 2023
A novel approach for wafer defect pattern classification based on topological data analysis Seung-Geun Ko Dowan Koo 13 9 0 19 Sep 2022