:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Blondal, Ari, Hatami, Hamed, Hatami, Pooya, Lalov, Chavdar, Tretiak, Sivan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Algebraic Topology
Online Access:	https://arxiv.org/abs/2511.11819
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Borsuk-Ulam and Replicable Learning of Large-Margin Halfspaces
by: Blondal, Ari, et al.
Published: (2025)

Stability and List-Replicability for Agnostic Learners
by: Blondal, Ari, et al.
Published: (2025)

Simplicial Representation Learning with Neural $k$-Forms
by: Maggs, Kelly, et al.
Published: (2023)

Probabilistic Foundations of Fuzzy Simplicial Sets for Nonlinear Dimensionality Reduction
by: Keck, Janis, et al.
Published: (2025)

Geometry-Aware Simplicial Message Passing
by: Wang, Elena Xinyi, et al.
Published: (2026)

Generalized Simplicial Attention Neural Networks
by: Battiloro, Claudio, et al.
Published: (2023)

Trainable and Explainable Simplicial Map Neural Networks
by: Paluzo-Hidalgo, Eduardo, et al.
Published: (2023)

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data
by: Viswanath, Siddharth, et al.
Published: (2025)

Simplicial volume of open books in dimension 4
by: Kastenholz, Thorben
Published: (2025)

Simplicial Convolutional Filters
by: Yang, Maosheng, et al.
Published: (2022)

Structure in Communication Complexity and Constant-Cost Complexity Classes
by: Hatami, Hamed, et al.
Published: (2024)

Simplicial presheaves of Green complexes and twisting cochains
by: Hosgood, Timothy, et al.
Published: (2023)

Homotopy Theory for Ordered Simplicial Complexes
by: Wei, Melissa
Published: (2025)

Equivariant Homotopy Theory via Simplicial Coalgebras
by: Alberga, Sofía Martínez, et al.
Published: (2024)

Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
by: Dey, Tamal K., et al.
Published: (2025)

Towards Scalable Topological Regularizers
by: Wong, Hiu-Tung, et al.
Published: (2025)

Stability, Complexity and Data-Dependent Worst-Case Generalization Bounds
by: Tuci, Mario, et al.
Published: (2025)

Torsion in Persistent Homology and Neural Networks
by: Walch, Maria
Published: (2025)

On topological descriptors for graph products
by: Ji, Mattie, et al.
Published: (2025)

Latent Space Topology Evolution in Multilayer Perceptrons
by: Paluzo-Hidalgo, Eduardo
Published: (2025)

Persistence Spheres: Bi-continuous Representations of Persistence Diagrams
by: Pegoraro, Matteo
Published: (2025)

Frequent subgraph-based persistent homology for graph classification
by: Chen, Xinyang, et al.
Published: (2025)

On the Sheafification of Higher-Order Message Passing
by: Hume, Jacob, et al.
Published: (2025)

Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
by: von Rohrscheidt, Julius, et al.
Published: (2024)

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
by: García-Redondo, Inés, et al.
Published: (2022)

Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
by: Li, Hao, et al.
Published: (2024)

Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
by: Ji, Mattie, et al.
Published: (2026)

MANTRA: The Manifold Triangulations Assemblage
by: Ballester, Rubén, et al.
Published: (2024)

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
by: Andreeva, Rayna, et al.
Published: (2024)

Stability for Inference with Persistent Homology Rank Functions
by: Wang, Qiquan, et al.
Published: (2023)

Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal
by: Grande, Vincent P., et al.
Published: (2023)

Boosting Graph Pooling with Persistent Homology
by: Ying, Chaolong, et al.
Published: (2024)

ToMAToMP: Robust and Multi-Parameter Topological Clustering
by: Andrianirina, Ludo, et al.
Published: (2026)

Mapping the Multiverse of Latent Representations
by: Wayland, Jeremy, et al.
Published: (2024)

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
by: Eitan, Yam, et al.
Published: (2024)

A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
by: Majhi, Sushovan, et al.
Published: (2026)

Persistent Homology for High-dimensional Data Based on Spectral Methods
by: Damrich, Sebastian, et al.
Published: (2023)

Persistence kernels for classification: A comparative study
by: Bandiziol, Cinzia, et al.
Published: (2024)

Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in Small-Diameter Vertical Pipes
by: Koenig, Brady, et al.
Published: (2026)

Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
by: Rieck, Bastian
Published: (2026)