Developing a Foundation of Vector Symbolic Architectures Using Category Theory
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Shaw, Nolan P, Furlong, P Michael, Anderson, Britt, Orchard, Jeff |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
par: Gupta, Chakshu, et autres
Publié: (2026)
par: Gupta, Chakshu, et autres
Publié: (2026)
Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
par: Rodríguez-Salas, Dalia
Publié: (2025)
par: Rodríguez-Salas, Dalia
Publié: (2025)
Improved Cleanup and Decoding of Fractional Power Encodings
par: Bremer, Alicia, et autres
Publié: (2024)
par: Bremer, Alicia, et autres
Publié: (2024)
Large Language Model Meets Graph Neural Network in Knowledge Distillation
par: Hu, Shengxiang, et autres
Publié: (2024)
par: Hu, Shengxiang, et autres
Publié: (2024)
Graph Neural Networks for Brain Graph Learning: A Survey
par: Luo, Xuexiong, et autres
Publié: (2024)
par: Luo, Xuexiong, et autres
Publié: (2024)
Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysis
par: Hirth, Johannes, et autres
Publié: (2022)
par: Hirth, Johannes, et autres
Publié: (2022)
Don't Forget Imagination!
par: Vityaev, Evgenii E., et autres
Publié: (2025)
par: Vityaev, Evgenii E., et autres
Publié: (2025)
Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal
par: Chen, Xia, et autres
Publié: (2024)
par: Chen, Xia, et autres
Publié: (2024)
Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment
par: Li, Dai, et autres
Publié: (2025)
par: Li, Dai, et autres
Publié: (2025)
CircuitBuilder: From Polynomials to Circuits via Reinforcement Learning
par: Zhang, Weikun K., et autres
Publié: (2026)
par: Zhang, Weikun K., et autres
Publié: (2026)
Clinical Data Goes MEDS? Let's OWL make sense of it
par: Marfoglia, Alberto, et autres
Publié: (2026)
par: Marfoglia, Alberto, et autres
Publié: (2026)
The Meta-Prompting Protocol: Orchestrating LLMs via Adversarial Feedback Loops
par: Fu, Fanzhe
Publié: (2025)
par: Fu, Fanzhe
Publié: (2025)
On The Expressive Power of Knowledge Graph Embedding Methods
par: Gao, Jiexing, et autres
Publié: (2024)
par: Gao, Jiexing, et autres
Publié: (2024)
Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learning
par: Nie, Jihui, et autres
Publié: (2024)
par: Nie, Jihui, et autres
Publié: (2024)
Golden Handcuffs make safer AI agents
par: Ebtekar, Aram, et autres
Publié: (2026)
par: Ebtekar, Aram, et autres
Publié: (2026)
JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation
par: Huang, Yingbing, et autres
Publié: (2025)
par: Huang, Yingbing, et autres
Publié: (2025)
The Representation of Meaningful Precision, and Accuracy
par: Mani, A
Publié: (2024)
par: Mani, A
Publié: (2024)
Composition of Relational Features with an Application to Explaining Black-Box Predictors
par: Srinivasan, Ashwin, et autres
Publié: (2022)
par: Srinivasan, Ashwin, et autres
Publié: (2022)
Is logical analysis performed by transformers taking place in self-attention or in the fully connected part?
par: Shin, Evgeniy, et autres
Publié: (2025)
par: Shin, Evgeniy, et autres
Publié: (2025)
Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
par: Erofeev, Anton, et autres
Publié: (2025)
par: Erofeev, Anton, et autres
Publié: (2025)
A General Framework of Epistemic Forgetting and its Instantiation by Ranking Functions
par: Beierle, Christoph, et autres
Publié: (2025)
par: Beierle, Christoph, et autres
Publié: (2025)
Accelerating System-Level Debug Using Rule Learning and Subgroup Discovery Techniques
par: Khasidashvili, Zurab
Publié: (2022)
par: Khasidashvili, Zurab
Publié: (2022)
A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
par: Polo-Molina, Alejandro, et autres
Publié: (2024)
par: Polo-Molina, Alejandro, et autres
Publié: (2024)
Cascade Token Selection for Transformer Attention Acceleration
par: Thomas, Stephen J.
Publié: (2026)
par: Thomas, Stephen J.
Publié: (2026)
Gated Subspace Inference for Transformer Acceleration
par: Thomas, Stephen J.
Publié: (2026)
par: Thomas, Stephen J.
Publié: (2026)
Answer Set Networks: Casting Answer Set Programming into Deep Learning
par: Skryagin, Arseny, et autres
Publié: (2024)
par: Skryagin, Arseny, et autres
Publié: (2024)
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
par: Drury, Kieran, et autres
Publié: (2025)
par: Drury, Kieran, et autres
Publié: (2025)
Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
par: Pinto, Pedro Henrique Ramos, et autres
Publié: (2026)
par: Pinto, Pedro Henrique Ramos, et autres
Publié: (2026)
Multi-Point Proximity Encoding For Vector-Mode Geospatial Machine Learning
par: Collins, John
Publié: (2025)
par: Collins, John
Publié: (2025)
GPT-2 Through the Lens of Vector Symbolic Architectures
par: Knittel, Johannes, et autres
Publié: (2024)
par: Knittel, Johannes, et autres
Publié: (2024)
Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models
par: Wang, Ziyu, et autres
Publié: (2024)
par: Wang, Ziyu, et autres
Publié: (2024)
Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
par: Alam, Mohammad Shah, et autres
Publié: (2025)
par: Alam, Mohammad Shah, et autres
Publié: (2025)
Progressive Power Homotopy for Non-convex Optimization
par: Xu, Chen
Publié: (2026)
par: Xu, Chen
Publié: (2026)
Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
par: Napoli, Rosario, et autres
Publié: (2025)
par: Napoli, Rosario, et autres
Publié: (2025)
Neuro-Symbolic Process Anomaly Detection
par: Gaikwad, Devashish, et autres
Publié: (2026)
par: Gaikwad, Devashish, et autres
Publié: (2026)
Topological Foundations of Reinforcement Learning
par: Kadurha, David Krame
Publié: (2024)
par: Kadurha, David Krame
Publié: (2024)
Hallucinations Live in Variance
par: Flouro, Aaron R., et autres
Publié: (2026)
par: Flouro, Aaron R., et autres
Publié: (2026)
Multi-Model Synthetic Training for Mission-Critical Small Language Models
par: Platt, Nolan, et autres
Publié: (2025)
par: Platt, Nolan, et autres
Publié: (2025)
A Neural Affinity Framework for Abstract Reasoning: Diagnosing the Compositional Gap in Transformer Architectures via Procedural Task Taxonomy
par: Ingram, Miguel, et autres
Publié: (2025)
par: Ingram, Miguel, et autres
Publié: (2025)
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
par: Alam, Mohammad Mahmudul, et autres
Publié: (2024)
par: Alam, Mohammad Mahmudul, et autres
Publié: (2024)
Documents similaires
-
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
par: Gupta, Chakshu, et autres
Publié: (2026) -
Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
par: Rodríguez-Salas, Dalia
Publié: (2025) -
Improved Cleanup and Decoding of Fractional Power Encodings
par: Bremer, Alicia, et autres
Publié: (2024) -
Large Language Model Meets Graph Neural Network in Knowledge Distillation
par: Hu, Shengxiang, et autres
Publié: (2024) -
Graph Neural Networks for Brain Graph Learning: A Survey
par: Luo, Xuexiong, et autres
Publié: (2024)