LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules
Fuente:
arXiv
Saved in:
| Main Authors: | Mejri, Mohamed, Amarnath, Chandramouli, Chatterjee, Abhijit |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing
by: Mejri, Mohamed, et al.
Published: (2024)
by: Mejri, Mohamed, et al.
Published: (2024)
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
by: Mejri, Mohamed, et al.
Published: (2024)
by: Mejri, Mohamed, et al.
Published: (2024)
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
by: Hersche, Michael, et al.
Published: (2024)
by: Hersche, Michael, et al.
Published: (2024)
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
by: Alam, Mohammad Mahmudul, et al.
Published: (2024)
by: Alam, Mohammad Mahmudul, et al.
Published: (2024)
GPT-2 Through the Lens of Vector Symbolic Architectures
by: Knittel, Johannes, et al.
Published: (2024)
by: Knittel, Johannes, et al.
Published: (2024)
Towards Learning Abductive Reasoning using VSA Distributed Representations
by: Camposampiero, Giacomo, et al.
Published: (2024)
by: Camposampiero, Giacomo, et al.
Published: (2024)
DANCE: Dynamic 3D CNN Pruning: Joint Frame, Channel, and Feature Adaptation for Energy Efficiency on the Edge
by: Mejri, Mohamed, et al.
Published: (2026)
by: Mejri, Mohamed, et al.
Published: (2026)
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
by: Daniele, Alessandro, et al.
Published: (2022)
by: Daniele, Alessandro, et al.
Published: (2022)
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces
by: Liu, Yejia, et al.
Published: (2024)
by: Liu, Yejia, et al.
Published: (2024)
Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023)
by: Do, Khoi, et al.
Published: (2023)
Neuro-Symbolic Rule Lists
by: Xu, Sascha, et al.
Published: (2024)
by: Xu, Sascha, et al.
Published: (2024)
Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures
by: Bronzini, Marco, et al.
Published: (2025)
by: Bronzini, Marco, et al.
Published: (2025)
Developing a Foundation of Vector Symbolic Architectures Using Category Theory
by: Shaw, Nolan P, et al.
Published: (2025)
by: Shaw, Nolan P, et al.
Published: (2025)
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach
by: Dube, Rohit, et al.
Published: (2023)
by: Dube, Rohit, et al.
Published: (2023)
Vector Symbolic Algebras for the Abstraction and Reasoning Corpus
by: Joffe, Isaac, et al.
Published: (2025)
by: Joffe, Isaac, et al.
Published: (2025)
Attention as Binding: A Vector-Symbolic Perspective on Transformer Reasoning
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images
by: Penzkofer, Anna, et al.
Published: (2024)
by: Penzkofer, Anna, et al.
Published: (2024)
Causal-Symbolic Meta-Learning (CSML): Inducing Causal World Models for Few-Shot Generalization
by: S, Mohamed Zayaan
Published: (2025)
by: S, Mohamed Zayaan
Published: (2025)
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
by: Hersche, Michael, et al.
Published: (2024)
by: Hersche, Michael, et al.
Published: (2024)
Optimal Pattern Detection Tree for Symbolic Rule-Based Classification
by: Hong, Young-Chae, et al.
Published: (2026)
by: Hong, Young-Chae, et al.
Published: (2026)
Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning
by: Zhang, Zheng
Published: (2025)
by: Zhang, Zheng
Published: (2025)
Cardinality-Preserving Attention Channels for Graph Transformers in Molecular Property Prediction
by: Gupta, Abhijit
Published: (2026)
by: Gupta, Abhijit
Published: (2026)
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
by: Li, Yanjie, et al.
Published: (2023)
by: Li, Yanjie, et al.
Published: (2023)
A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)
by: He, Hao-Yuan, et al.
Published: (2025)
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)
by: Keller, Leon, et al.
Published: (2025)
Symbolic State Partitioning for Reinforcement Learning
by: Ghaffari, Mohsen, et al.
Published: (2024)
by: Ghaffari, Mohsen, et al.
Published: (2024)
Reinforcement Learning with Symbolic Reward Machines
by: Krug, Thomas, et al.
Published: (2026)
by: Krug, Thomas, et al.
Published: (2026)
Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue Arithmetic
by: Hanley, Connor, et al.
Published: (2025)
by: Hanley, Connor, et al.
Published: (2025)
Understanding Expressivity of GNN in Rule Learning
by: Qiu, Haiquan, et al.
Published: (2023)
by: Qiu, Haiquan, et al.
Published: (2023)
A Safe Screening Rule with Bi-level Optimization of $ν$ Support Vector Machine
by: Yang, Zhiji, et al.
Published: (2024)
by: Yang, Zhiji, et al.
Published: (2024)
A Physics Informed Neural Network For Deriving MHD State Vectors From Global Active Regions Observations
by: Chatterjee, Subhamoy, et al.
Published: (2025)
by: Chatterjee, Subhamoy, et al.
Published: (2025)
Enhancing Machine Learning Model Efficiency through Quantization and Bit Depth Optimization: A Performance Analysis on Healthcare Data
by: Goswami, Mitul, et al.
Published: (2025)
by: Goswami, Mitul, et al.
Published: (2025)
Symbolic Autoencoding for Self-Supervised Sequence Learning
by: Amani, Mohammad Hossein, et al.
Published: (2024)
by: Amani, Mohammad Hossein, et al.
Published: (2024)
Contrastive Learning and Abstract Concepts: The Case of Natural Numbers
by: Nissani, Daniel N.
Published: (2024)
by: Nissani, Daniel N.
Published: (2024)
Fusing Memory and Attention: A study on LSTM, Transformer and Hybrid Architectures for Symbolic Music Generation
by: Ghoshal, Soudeep, et al.
Published: (2026)
by: Ghoshal, Soudeep, et al.
Published: (2026)
Interpretable Representation Learning for Additive Rule Ensembles
by: Behzadimanesh, Shahrzad, et al.
Published: (2025)
by: Behzadimanesh, Shahrzad, et al.
Published: (2025)
Fuzzy Rule-based Differentiable Representation Learning
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
by: Liang, Yichao, et al.
Published: (2024)
by: Liang, Yichao, et al.
Published: (2024)
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
by: Shindo, Hikaru, et al.
Published: (2024)
by: Shindo, Hikaru, et al.
Published: (2024)
Distilling Symbolic Priors for Concept Learning into Neural Networks
by: Marinescu, Ioana, et al.
Published: (2024)
by: Marinescu, Ioana, et al.
Published: (2024)
Similar Items
-
RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing
by: Mejri, Mohamed, et al.
Published: (2024) -
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
by: Mejri, Mohamed, et al.
Published: (2024) -
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
by: Hersche, Michael, et al.
Published: (2024) -
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
by: Alam, Mohammad Mahmudul, et al.
Published: (2024) -
GPT-2 Through the Lens of Vector Symbolic Architectures
by: Knittel, Johannes, et al.
Published: (2024)