Persformer: A Transformer Architecture for Topological Machine Learning

30 December 2021

Papers citing "Persformer: A Transformer Architecture for Topological Machine Learning"

11 / 11 papers shown

Title
SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction Anqing Jiang Jinhao Chai Yu Gao Y. Wang Yuwen Heng ... Li Sun Jian Zhou Lijuan Zhu Shugong Xu Hao Zhao 23 0 0 12 May 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
xPerT: Extended Persistence Transformer Sehun Kim 15 0 0 18 Oct 2024
Decorrelating neurons using persistence Rubén Ballester Carles Casacuberta Sergio Escalera 23 1 0 09 Aug 2023
Euler Characteristic Tools For Topological Data Analysis Olympio Hacquard Vadim Lebovici 28 9 0 24 Mar 2023
Statistical learning on measures: an application to persistence diagrams Olympio Hacquard Gilles Blanchard Clément Levrard 24 3 0 15 Mar 2023
Topological Deep Learning: A Review of an Emerging Paradigm Ali Zia Abdelwahed Khamis James A. Nichols Zeeshan Hayder V. Rolland L. Petersson 9 23 0 08 Feb 2023
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis Renato Vukovic Michael Heck Benjamin Matthias Ruppik Carel van Niekerk Marcus Zibrowius Milica Gavsić 26 7 0 22 Aug 2022
The Topological BERT: Transforming Attention into Topology for Natural Language Processing Ilan Perez Raphael Reinauer 22 17 0 30 Jun 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
Statistical topological data analysis using persistence landscapes Peter Bubenik 96 846 0 27 Jul 2012