Cover Image

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Dennis, Hu, Jerry Yao-Chieh, Li, Weijian, Chen, Bo-Yu, Liu, Han
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

Nonparametric Modern Hopfield Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

Online Training of Hopfield Networks using Predictive Coding
by: Ganjidoost, Ehsan, et al.
Published: (2024)

Efficient event-driven retrieval in high-capacity kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
by: Wang, Xiao, et al.
Published: (2023)

Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields
by: Lin, Ranxi, et al.
Published: (2025)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
by: Yao, Man, et al.
Published: (2024)

Learning Hippo: Multi-attractor Dynamics and Stability Effects in a Biologically Detailed CA3 Extension of Hopfield Networks
by: Corradetti, Daniele, et al.
Published: (2026)

High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost
by: Hu, JiaKui, et al.
Published: (2024)

iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer
by: Ota, Toshihiro, et al.
Published: (2023)

Evidence of Scaling Regimes in the Hopfield Dynamics of Whole Brain Model
by: Gosti, Giorgio, et al.
Published: (2024)

Long-Sequence Memory with Temporal Kernels and Dense Hopfield Functionals
by: Farooq, Ahmed
Published: (2025)

Context-aware Sparse Spatiotemporal Learning for Event-based Vision
by: Wang, Shenqi, et al.
Published: (2025)

Dynamics of Structured Complex-Valued Hopfield Neural Networks
by: Garimella, Rama Murthy, et al.
Published: (2025)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
by: Cheng, Hao, et al.
Published: (2023)

Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
by: Kymn, Christopher J., et al.
Published: (2024)

Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
by: Wang, Xiao, et al.
Published: (2024)

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
by: Zheng, Zeqi, et al.
Published: (2025)

Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection
by: Wang, Shenqi, et al.
Published: (2025)

Continual Learning with Hebbian Plasticity in Sparse and Predictive Coding Networks: A Survey and Perspective
by: Safa, Ali
Published: (2024)

STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers
by: Zheng, Zeqi, et al.
Published: (2025)

A Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction
by: Yao, Fulong, et al.
Published: (2024)

Memory-Free and Parallel Computation for Quantized Spiking Neural Networks
by: Zhang, Dehao, et al.
Published: (2025)

Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability
by: McAlister, Hayden, et al.
Published: (2025)

Kernel Logistic Regression Learning for High-Capacity Hopfield Networks
by: Tamamori, Akira
Published: (2025)

Quantitative Attractor Analysis of High-Capacity Kernel Hopfield Networks
by: Tamamori, Akira
Published: (2025)

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification
by: Li, Yiwei, et al.
Published: (2025)

Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler
by: Goemaere, Cédric, et al.
Published: (2023)

Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks
by: Tamamori, Akira
Published: (2025)

Novel Complex-Valued Hopfield Neural Networks with Phase and Magnitude Quantization
by: Ramamurthy, Garimella, et al.
Published: (2025)

A Framework for Non-Linear Attention via Modern Hopfield Networks
by: Farooq, Ahmed
Published: (2025)

Parameter Estimation in Quantum Metrology Technique for Time Series Prediction
by: Sharma, Vaidik A, et al.
Published: (2024)

Prototype Analysis in Hopfield Networks with Hebbian Learning
by: McAlister, Hayden, et al.
Published: (2024)

Enhancing Adversarial Robustness in SNNs with Sparse Gradients
by: Liu, Yujia, et al.
Published: (2024)

LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling
by: Xie, Keqin
Published: (2026)

Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)

Integer Binary-Range Alignment Neuron for Spiking Neural Networks
by: Ye, Binghao, et al.
Published: (2025)

Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
by: Refoyo, Mario, et al.
Published: (2024)

Adjusting Dynamics of Hopfield Neural Network via Time-variant Stimulus
by: Peng, Xuenan, et al.
Published: (2024)