Copertina

Sheaf Cohomology of Linear Predictive Coding Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Seely, Jeffrey
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Multi-Agent Coordination via Sheaf-ADMM
di: Seely, Jeffrey, et al.
Pubblicazione: (2026)

Augmented Lagrangian Predictive Coding
di: Seely, Jeffrey, et al.
Pubblicazione: (2026)

Sheaf Hypergraph Networks
di: Duta, Iulia, et al.
Pubblicazione: (2023)

Cooperative Sheaf Neural Networks
di: Ribeiro, André, et al.
Pubblicazione: (2025)

Heterogeneous Sheaf Neural Networks
di: Braithwaite, Luke, et al.
Pubblicazione: (2024)

Sheaf HyperNetworks for Personalized Federated Learning
di: Nguyen, Bao, et al.
Pubblicazione: (2024)

Nonlinear Sheaf Diffusion in Graph Neural Networks
di: Zaghen, Olga
Pubblicazione: (2024)

Bayesian Sheaf Neural Networks
di: Gillespie, Patrick, et al.
Pubblicazione: (2024)

Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
di: Idrissova, Shekhnaz, et al.
Pubblicazione: (2025)

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

Gaussian Sheaf Neural Networks
di: Ribeiro, André, et al.
Pubblicazione: (2026)

Continuous Thought Machines
di: Darlow, Luke, et al.
Pubblicazione: (2025)

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

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

Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
di: Mule, Emanuele, et al.
Pubblicazione: (2025)

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
di: Choi, Yoonhyuk, et al.
Pubblicazione: (2025)

Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
di: Peng, Yuhan, et al.
Pubblicazione: (2026)

Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
di: Caralt, Ferran Hernandez, et al.
Pubblicazione: (2024)

Sudoku-Bench: Evaluating creative reasoning with Sudoku variants
di: Seely, Jeffrey, et al.
Pubblicazione: (2025)

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

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

Personalized Subgraph Federated Learning with Sheaf Collaboration
di: Liang, Wenfei, et al.
Pubblicazione: (2025)

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

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
di: Mostafa, Abeer, et al.
Pubblicazione: (2026)

Learning Sheaf Laplacian Optimizing Restriction Maps
di: Di Nino, Leonardo, et al.
Pubblicazione: (2025)

FedSheafHN: Personalized Federated Learning on Graph-structured Data
di: Liang, Wenfei, et al.
Pubblicazione: (2024)

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics
di: Viswanath, Siddharth, et al.
Pubblicazione: (2026)

Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
di: Dönmez, Arif, et al.
Pubblicazione: (2026)

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

Towards the Training of Deeper Predictive Coding Neural Networks
di: Qi, Chang, et al.
Pubblicazione: (2025)

Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
di: Issaid, Chaouki Ben, et al.
Pubblicazione: (2025)

Bio-Inspired Artificial Neural Networks based on Predictive Coding
di: Casnici, Davide, et al.
Pubblicazione: (2025)

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

Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems
di: Ghalkha, Abdulmomen, et al.
Pubblicazione: (2025)

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

Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?
di: Rathjens, Jan, et al.
Pubblicazione: (2024)

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

Accelerated Predictive Coding Networks via Direct Kolen-Pollack Feedback Alignment
di: Casnici, Davide, et al.
Pubblicazione: (2026)

Linear Diffusion Networks
di: Fein-Ashley, Jacob
Pubblicazione: (2025)

Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
di: Borgi, Alessio, et al.
Pubblicazione: (2025)