Copertina

Developing a Foundation of Vector Symbolic Architectures Using Category Theory

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shaw, Nolan P, Furlong, P Michael, Anderson, Britt, Orchard, Jeff
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Machine Learning 68T30
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
di: Gupta, Chakshu, et al.
Pubblicazione: (2026)

Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
di: Rodríguez-Salas, Dalia
Pubblicazione: (2025)

Improved Cleanup and Decoding of Fractional Power Encodings
di: Bremer, Alicia, et al.
Pubblicazione: (2024)

Large Language Model Meets Graph Neural Network in Knowledge Distillation
di: Hu, Shengxiang, et al.
Pubblicazione: (2024)

Graph Neural Networks for Brain Graph Learning: A Survey
di: Luo, Xuexiong, et al.
Pubblicazione: (2024)

Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysis
di: Hirth, Johannes, et al.
Pubblicazione: (2022)

Don't Forget Imagination!
di: Vityaev, Evgenii E., et al.
Pubblicazione: (2025)

Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal
di: Chen, Xia, et al.
Pubblicazione: (2024)

Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment
di: Li, Dai, et al.
Pubblicazione: (2025)

CircuitBuilder: From Polynomials to Circuits via Reinforcement Learning
di: Zhang, Weikun K., et al.
Pubblicazione: (2026)

Clinical Data Goes MEDS? Let's OWL make sense of it
di: Marfoglia, Alberto, et al.
Pubblicazione: (2026)

The Meta-Prompting Protocol: Orchestrating LLMs via Adversarial Feedback Loops
di: Fu, Fanzhe
Pubblicazione: (2025)

On The Expressive Power of Knowledge Graph Embedding Methods
di: Gao, Jiexing, et al.
Pubblicazione: (2024)

Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learning
di: Nie, Jihui, et al.
Pubblicazione: (2024)

Golden Handcuffs make safer AI agents
di: Ebtekar, Aram, et al.
Pubblicazione: (2026)

JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation
di: Huang, Yingbing, et al.
Pubblicazione: (2025)

The Representation of Meaningful Precision, and Accuracy
di: Mani, A
Pubblicazione: (2024)

Composition of Relational Features with an Application to Explaining Black-Box Predictors
di: Srinivasan, Ashwin, et al.
Pubblicazione: (2022)

Is logical analysis performed by transformers taking place in self-attention or in the fully connected part?
di: Shin, Evgeniy, et al.
Pubblicazione: (2025)

Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
di: Erofeev, Anton, et al.
Pubblicazione: (2025)

A General Framework of Epistemic Forgetting and its Instantiation by Ranking Functions
di: Beierle, Christoph, et al.
Pubblicazione: (2025)

Accelerating System-Level Debug Using Rule Learning and Subgroup Discovery Techniques
di: Khasidashvili, Zurab
Pubblicazione: (2022)

A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
di: Polo-Molina, Alejandro, et al.
Pubblicazione: (2024)

Cascade Token Selection for Transformer Attention Acceleration
di: Thomas, Stephen J.
Pubblicazione: (2026)

Gated Subspace Inference for Transformer Acceleration
di: Thomas, Stephen J.
Pubblicazione: (2026)

Answer Set Networks: Casting Answer Set Programming into Deep Learning
di: Skryagin, Arseny, et al.
Pubblicazione: (2024)

Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
di: Drury, Kieran, et al.
Pubblicazione: (2025)

Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
di: Pinto, Pedro Henrique Ramos, et al.
Pubblicazione: (2026)

Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning
di: Collins, John
Pubblicazione: (2025)

GPT-2 Through the Lens of Vector Symbolic Architectures
di: Knittel, Johannes, et al.
Pubblicazione: (2024)

Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models
di: Wang, Ziyu, et al.
Pubblicazione: (2024)

Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
di: Alam, Mohammad Shah, et al.
Pubblicazione: (2025)

Progressive Power Homotopy for Non-convex Optimization
di: Xu, Chen
Pubblicazione: (2026)

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
di: Napoli, Rosario, et al.
Pubblicazione: (2025)

Neuro-Symbolic Process Anomaly Detection
di: Gaikwad, Devashish, et al.
Pubblicazione: (2026)

Topological Foundations of Reinforcement Learning
di: Kadurha, David Krame
Pubblicazione: (2024)

Hallucinations Live in Variance
di: Flouro, Aaron R., et al.
Pubblicazione: (2026)

Multi-Model Synthetic Training for Mission-Critical Small Language Models
di: Platt, Nolan, et al.
Pubblicazione: (2025)

A Neural Affinity Framework for Abstract Reasoning: Diagnosing the Compositional Gap in Transformer Architectures via Procedural Task Taxonomy
di: Ingram, Miguel, et al.
Pubblicazione: (2025)

A Walsh Hadamard Derived Linear Vector Symbolic Architecture
di: Alam, Mohammad Mahmudul, et al.
Pubblicazione: (2024)