Image de couverture de livre

xPerT: Extended Persistence Transformer

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Kim, Sehun
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Algebraic Topology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Convolutional Persistence Transforms
par: Solomon, Elchanan, et autres
Publié: (2022)

Persistence Spheres: Bi-continuous Representations of Persistence Diagrams
par: Pegoraro, Matteo
Publié: (2025)

Persistent Homology via Ellipsoids
par: Canova, Niklas, et autres
Publié: (2024)

Boosting Graph Pooling with Persistent Homology
par: Ying, Chaolong, et autres
Publié: (2024)

Torsion in Persistent Homology and Neural Networks
par: Walch, Maria
Publié: (2025)

Persistence kernels for classification: A comparative study
par: Bandiziol, Cinzia, et autres
Publié: (2024)

Stability for Inference with Persistent Homology Rank Functions
par: Wang, Qiquan, et autres
Publié: (2023)

Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
par: Ji, Mattie, et autres
Publié: (2026)

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
par: García-Redondo, Inés, et autres
Publié: (2022)

Persistent Homology for High-dimensional Data Based on Spectral Methods
par: Damrich, Sebastian, et autres
Publié: (2023)

Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
par: Li, Hao, et autres
Publié: (2024)

Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
par: Dey, Tamal K., et autres
Publié: (2025)

A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
par: Majhi, Sushovan, et autres
Publié: (2026)

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
par: Eitan, Yam, et autres
Publié: (2024)

Mathematical Insights into Protein Architecture: Persistent Homology and Machine Learning Applied to the Flagellar Motor
par: Lamine, Zakaria, et autres
Publié: (2025)

Persistent Homology as Stopping-Criterion for Voronoi Interpolation
par: Melodia, Luciano, et autres
Publié: (2019)

Persistent reachability homology in machine learning applications
par: Caputi, Luigi, et autres
Publié: (2025)

Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
par: von Rohrscheidt, Julius, et autres
Publié: (2024)

Topological Quality of Subsets via Persistence Matching Diagrams
par: Torras-Casas, Álvaro, et autres
Publié: (2023)

Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
par: Jeon, Eun Som, et autres
Publié: (2024)

Dynamical System Parameter Path Optimization using Persistent Homology
par: Chumley, Max M., et autres
Publié: (2025)

Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH
par: Grande, Vincent P., et autres
Publié: (2023)

PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction
par: You, Junwon, et autres
Publié: (2024)

D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
par: Mukherjee, Soham, et autres
Publié: (2024)

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
par: Loiseaux, David, et autres
Publié: (2023)

Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
par: Shin, Jaesun, et autres
Publié: (2024)

Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
par: Chung, Moo K., et autres
Publié: (2022)

Persistence Spheres: a Bi-continuous Linear Representation of Measures for Partial Optimal Transport
par: Pegoraro, Matteo
Publié: (2026)

A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction
par: May, Nathan H., et autres
Publié: (2023)

Molecular Machine Learning Using Euler Characteristic Transforms
par: Toscano-Duran, Victor, et autres
Publié: (2025)

Topological Detection of Hopf Bifurcations via Persistent Homology: A Functional Criterion from Time Series
par: Barrios, Jhonathan, et autres
Publié: (2026)

Cosmology with Persistent Homology: Parameter Inference via Machine Learning
par: Calles, Juan, et autres
Publié: (2024)

Persistence-based topological optimization: a survey
par: Carriere, Mathieu, et autres
Publié: (2026)

MANTRA: The Manifold Triangulations Assemblage
par: Ballester, Rubén, et autres
Publié: (2024)

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
par: Andreeva, Rayna, et autres
Publié: (2024)

Mapping the Multiverse of Latent Representations
par: Wayland, Jeremy, et autres
Publié: (2024)

Graphcode: Learning from multiparameter persistent homology using graph neural networks
par: Kerber, Michael, et autres
Publié: (2024)

SIMAP: A simplicial-map layer for neural networks
par: Gonzalez-Diaz, Rocio, et autres
Publié: (2024)

Simplicial covering dimension of extremal concept classes
par: Blondal, Ari, et autres
Publié: (2025)

Probabilistic Foundations of Fuzzy Simplicial Sets for Nonlinear Dimensionality Reduction
par: Keck, Janis, et autres
Publié: (2025)