:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Snopov, Pavel, Golubinskiy, Andrey Nikolaevich
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Algebraic Topology
Online Access:	https://arxiv.org/abs/2410.03470
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models
by: Hu, Chuan-Shen
Published: (2026)

Topological Quality of Subsets via Persistence Matching Diagrams
by: Torras-Casas, Álvaro, et al.
Published: (2023)

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)

D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
by: Mukherjee, Soham, et al.
Published: (2024)

Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
by: Shin, Jaesun, et al.
Published: (2024)

Topological Signatures of ReLU Neural Network Activation Patterns
by: Bosca, Vicente, et al.
Published: (2025)

Attending to Topological Spaces: The Cellular Transformer
by: Ballester, Rubén, et al.
Published: (2024)

The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology
by: Fay, Aideen, et al.
Published: (2025)

Functorial Neural Architectures from Higher Inductive Types
by: Sargsyan, Karen
Published: (2026)

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)

ChatGPT for Computational Topology
by: Liu, Jian, et al.
Published: (2023)

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

Topological Data Analysis in smart manufacturing: State of the art and futuredirections
by: Uray, Martin, et al.
Published: (2023)

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

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
by: Tulchinskii, Eduard, et al.
Published: (2023)

CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
by: Korkmaz, Caner, et al.
Published: (2025)

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

Topological Detection of Hopf Bifurcations via Persistent Homology: A Functional Criterion from Time Series
by: Barrios, Jhonathan, et al.
Published: (2026)

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

Euler Characteristic Tools For Topological Data Analysis
by: Hacquard, Olympio, et al.
Published: (2023)

No Triangulation Without Representation: Generalization in Topological Deep Learning
by: Schmidt, Johannes S., et al.
Published: (2026)

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

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

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

Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection
by: Huber, Marius, et al.
Published: (2026)

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

Topological Detection of Phenomenological Bifurcations with Unreliable Kernel Densities
by: Tanweer, Sunia, et al.
Published: (2024)

Porosity and topological properties of triply periodic minimal surfaces
by: Ermolenko, Sergei, et al.
Published: (2024)

MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
by: Solunke, Parikshit, et al.
Published: (2024)

Topological Approach for Data Assimilation
by: Chumley, Max M., et al.
Published: (2024)

Persistent Homology via Ellipsoids
by: Canova, Niklas, et al.
Published: (2024)

Topology-Preserving Scaling in Data Augmentation
by: Le, Vu-Anh, et al.
Published: (2024)

Topological degree as a discrete diagnostic for disentanglement, with applications to the $Δ$VAE
by: Ravelonanosy, Mahefa Ratsisetraina, et al.
Published: (2024)

Differentiable Mapper For Topological Optimization Of Data Representation
by: Oulhaj, Ziyad, et al.
Published: (2024)

Topological Expressivity of ReLU Neural Networks
by: Ergen, Ekin, et al.
Published: (2023)

Cover Learning for Large-Scale Topology Representation
by: Scoccola, Luis, et al.
Published: (2025)

Topological Methods in Machine Learning: A Tutorial for Practitioners
by: Coskunuzer, Baris, et al.
Published: (2024)

Point-Level Topological Representation Learning on Point Clouds
by: Grande, Vincent P., et al.
Published: (2024)

Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
by: Jeon, Eun Som, et al.
Published: (2024)