Cover Image

Linear Codes for Hyperdimensional Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Raviv, Netanel
Format:	Preprint
Published:	2024
Subjects:	Information Theory Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Vector Symbolic Architectures from Histogram Recovery
by: Deng, Zirui, et al.
Published: (2025)

Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing
by: McDonald, Nathan, et al.
Published: (2024)

LLM-Guided Search for Deletion-Correcting Codes
by: Weindel, Franziska, et al.
Published: (2025)

NeuromorphicRx: From Neural to Spiking Receiver
by: Gupta, Ankit, et al.
Published: (2025)

Neuromorphic Wireless Split Computing with Multi-Level Spikes
by: Wu, Dengyu, et al.
Published: (2024)

Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons
by: Wu, Dengyu, et al.
Published: (2025)

Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
by: Yu, Xiaofan, et al.
Published: (2024)

Towards Information Theory-Based Discovery of Equivariances
by: Charvin, Hippolyte, et al.
Published: (2023)

Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
by: Pale, Una, et al.
Published: (2023)

Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing
by: Wen, Jinghao, et al.
Published: (2022)

LASER: Linear Compression in Wireless Distributed Optimization
by: Makkuva, Ashok Vardhan, et al.
Published: (2023)

What should a neuron aim for? Designing local objective functions based on information theory
by: Schneider, Andreas C., et al.
Published: (2024)

Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
by: Ke, Yuzhen, et al.
Published: (2024)

Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing
by: Simeone, Osvaldo
Published: (2026)

A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
by: Makkeh, Abdullah, et al.
Published: (2023)

Information Consistent Pruning: How to Efficiently Search for Sparse Networks?
by: Gharatappeh, Soheil, et al.
Published: (2025)

Learning Discretized Neural Networks under Ricci Flow
by: Chen, Jun, et al.
Published: (2023)

Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata
by: Grasso, Caitlin, et al.
Published: (2023)

The Effect of Label Noise on the Information Content of Neural Representations
by: Umar, Ali Hussaini, et al.
Published: (2025)

Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
by: Li, Jianfei, et al.
Published: (2024)

VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing
by: Poursiami, Hamed, et al.
Published: (2025)

Redundancy Maximization as a Principle of Associative Memory Learning
by: Blümel, Mark, et al.
Published: (2025)

Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning
by: Snyder, Shay, et al.
Published: (2025)

HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing
by: Cong, Guojing, et al.
Published: (2025)

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
by: Shin, Yong-Min, et al.
Published: (2024)

EQNN: Enhanced Quantum Neural Network
by: Chen, Abel C. H.
Published: (2024)

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
by: Huang, Ann, et al.
Published: (2024)

Spectral-Stimulus Information for Self-Supervised Stimulus Encoding
by: Deighton, Jared, et al.
Published: (2024)

Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design
by: Klein, Samuel, et al.
Published: (2026)

Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy
by: Shin, Hyeju, et al.
Published: (2025)

Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
by: Bozkurt, Bariscan, et al.
Published: (2023)

Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
by: Spieler, Aaron, et al.
Published: (2026)

Training oscillator Ising machines to assign the dynamic stability of their equilibrium points
by: Cheng, Yi, et al.
Published: (2025)

PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking
by: Zhou, Wei, et al.
Published: (2026)

Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
by: Moghadam, Mehran Shoushtari, et al.
Published: (2025)

Evolving Assembly Code in an Adversarial Environment
by: Maliukov, Irina, et al.
Published: (2024)

A Census-Based Genetic Algorithm for Target Set Selection Problem in Social Networks
by: Rahman, Md. Samiur, et al.
Published: (2024)

Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
by: Yu, Shanqing, et al.
Published: (2024)

Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods
by: Qu, Xilong, et al.
Published: (2024)

Influence Maximization in Hypergraphs using Multi-Objective Evolutionary Algorithms
by: Genetti, Stefano, et al.
Published: (2024)