:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Gerald Enrique Nelson Mc Kenzie
Format:	Recurso digital
Language:
Published:	Zenodo 2025
Online Access:	https://doi.org/10.5281/zenodo.14774480
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sheaf-Theoretic Preparation Contextuality
by: Williams, Tom, et al.
Published: (2026)

SheafAlign: A Sheaf-theoretic Framework for Decentralized Multimodal Alignment
by: Ghalkha, Abdulmomen, et al.
Published: (2025)

Sheaf Theoretic Approach to Lefschetz Calculus
by: Majadas-Moure, Alejandro O., et al.
Published: (2024)

The Sheaf-Theoretic Structure of Definite Causality
by: Gogioso, Stefano, et al.
Published: (2021)

Categorical Belief Propagation: Sheaf-Theoretic Inference via Descent and Holonomy
by: ter Horst, Enrique, et al.
Published: (2026)

A Sheaf-Theoretic Characterization of Tasks in Distributed Systems
by: Felber, Stephan, et al.
Published: (2025)

A Sheaf of Boehmians
by: Beardsley, Jonathan, et al.
Published: (2011)

Infinite Traces by Finality: a Sheaf-Theoretic Approach
by: Peressotti, Marco
Published: (2025)

Developments in Sheaf-Theoretic Models of Natural Language Ambiguities
by: Lo, Kin Ian, et al.
Published: (2024)

Sheaf of Residuated Lattices
by: Rasouli, Saeed
Published: (2025)

Sheaf Hypergraph Networks
by: Duta, Iulia, et al.
Published: (2023)

Sheafs of ultradifferentiable functions
by: Fürdös, Stefan
Published: (2026)

Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
by: Purificato, Antonio, et al.
Published: (2023)

Sheaf-Theoretic Causal Emergence for Resilience Analysis in Distributed Systems
by: Krasnovsky, Anatoly A.
Published: (2025)

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
by: Yu, Lei, et al.
Published: (2024)

Grothendieck's Geometric Universes and A Sheaf-Theoretic Foundation of Information Network
by: Inoué, Takao
Published: (2026)

Networks of Causal Abstractions: A Sheaf-theoretic Framework
by: D'Acunto, Gabriele, et al.
Published: (2025)

Cooperative Sheaf Neural Networks
by: Ribeiro, André, et al.
Published: (2025)

Gaussian Sheaf Neural Networks
by: Ribeiro, André, et al.
Published: (2026)

Heterogeneous Sheaf Neural Networks
by: Braithwaite, Luke, et al.
Published: (2024)

Stability of the Parabolic Picard Sheaf
by: Arusha, C., et al.
Published: (2024)

Bayesian Sheaf Neural Networks
by: Gillespie, Patrick, et al.
Published: (2024)

Maximally Extendable Sheaf Codes
by: Panteleev, Pavel, et al.
Published: (2024)

On the Necessity of Learnable Sheaf Laplacians
by: Caralt, Ferran Hernandez, et al.
Published: (2026)

A Physics-informed Sheaf Model
by: Hu, Chuan-Shen, et al.
Published: (2024)

A Structure Sheaf for Kirch Topology
by: Borisov, Alexander
Published: (2026)

Convergence by Density of Invariant Deposit: A Sheaf-Theoretic Constraint on Variant Operators
by: Eden, Trenton
Published: (2026)

DeepSN: A Sheaf Neural Framework for Influence Maximization
by: Hevapathige, Asela, et al.
Published: (2024)

Bell-like States in Classical Optics: A Process-Theoretic and Sheaf-Theoretic (Categorical) Clarification
by: Ghose, Partha
Published: (2026)

Sheaf-theoretic representation of the proteolipid code
by: Kervin, Troy A.
Published: (2025)

Kernel Sheaf on Integral Nodal Curves
by: Basu, Suratno, et al.
Published: (2025)

Sheaf Neural Networks and biomedical applications
by: Mehrab, Aneeqa, et al.
Published: (2026)

$β$-diversity and Graph Sheaf Laplacians
by: Davidson, Peter, et al.
Published: (2026)

Bridging the Semantic Gap: A Unified Framework for Non-Classical Logics via Sheaf-Theoretic Representations
by: Revista, Zen, et al.
Published: (2025)

The Spectral Geometry of Ternary Gamma Schemes:Sheaf-Theoretic Foundations and Laplacian Clustering
by: Gokavarapu, Chandrasekhar
Published: (2026)

Sheaf-Theoretic Transport and Obstruction for Detecting Scientific Theory Shift in AI Agents
by: Olivieri, David N., et al.
Published: (2026)

A Uniform Identification of Stable Sheaf Cohomology
by: Fiorindo, Luca, et al.
Published: (2023)

A Gauge Theory of Superposition: Toward a Sheaf-Theoretic Atlas of Neural Representations
by: Javidnia, Hossein
Published: (2026)

Cohomological Obstructions to Global Counterfactuals: A Sheaf-Theoretic Foundation for Generative Causal Models
by: Wu, Rui, et al.
Published: (2026)

Sheaf-Theoretic Planning: A Categorical Foundation for Resilient Multi-Agent Autonomous Systems
by: Hernández, Manuel, et al.
Published: (2026)