Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
Fuente:
arXiv
Saved in:
| Main Author: | Tamamori, Akira |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Organization and Spectral Mechanism of Attractor Landscapes in High-Capacity Kernel Hopfield Networks
by: Tamamori, Akira
Published: (2025)
by: Tamamori, Akira
Published: (2025)
Kernel Logistic Regression Learning for High-Capacity Hopfield Networks
by: Tamamori, Akira
Published: (2025)
by: Tamamori, Akira
Published: (2025)
Quantitative Attractor Analysis of High-Capacity Kernel Hopfield Networks
by: Tamamori, Akira
Published: (2025)
by: Tamamori, Akira
Published: (2025)
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks
by: Tamamori, Akira
Published: (2025)
by: Tamamori, Akira
Published: (2025)
Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)
by: Tamamori, Akira
Published: (2026)
Efficient event-driven retrieval in high-capacity kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)
by: Tamamori, Akira
Published: (2026)
Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory
by: Tamamori, Akira
Published: (2026)
by: Tamamori, Akira
Published: (2026)
Sharpness-Aware Minimization and the Edge of Stability
by: Long, Philip M., et al.
Published: (2023)
by: Long, Philip M., et al.
Published: (2023)
Thermal Robustness of Retrieval in Dense Associative Memories: LSE vs LSR Kernels
by: Petrova, Tatiana
Published: (2026)
by: Petrova, Tatiana
Published: (2026)
Improved Robustness and Hyperparameter Selection in the Dense Associative Memory
by: McAlister, Hayden, et al.
Published: (2024)
by: McAlister, Hayden, et al.
Published: (2024)
Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
Predictive Modeling in the Reservoir Kernel Motif Space
by: Tino, Peter, et al.
Published: (2024)
by: Tino, Peter, et al.
Published: (2024)
Long-Sequence Memory with Temporal Kernels and Dense Hopfield Functionals
by: Farooq, Ahmed
Published: (2025)
by: Farooq, Ahmed
Published: (2025)
Comparison of Reservoir Computing topologies using the Recurrent Kernel approach
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2024)
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2024)
Controlling Chaos Using Edge Computing Hardware
by: Kent, Robert M., et al.
Published: (2024)
by: Kent, Robert M., et al.
Published: (2024)
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
by: Yu, Xiaofan, et al.
Published: (2024)
by: Yu, Xiaofan, et al.
Published: (2024)
Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model
by: Zhou, Yonghang, et al.
Published: (2024)
by: Zhou, Yonghang, et al.
Published: (2024)
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
by: Pierro, Alessandro, et al.
Published: (2025)
by: Pierro, Alessandro, et al.
Published: (2025)
On the Stability of Growth in Structural Plasticity
by: Lillo, Lute, et al.
Published: (2026)
by: Lillo, Lute, et al.
Published: (2026)
MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
by: Zhang, Lizhao, et al.
Published: (2026)
by: Zhang, Lizhao, et al.
Published: (2026)
Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
by: Chen, Jiechen, et al.
Published: (2025)
by: Chen, Jiechen, et al.
Published: (2025)
Discovering Continuous-Time Memory-Based Symbolic Policies using Genetic Programming
by: de Vries, Sigur, et al.
Published: (2024)
by: de Vries, Sigur, et al.
Published: (2024)
Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision
by: Blessing, Effiong, et al.
Published: (2026)
by: Blessing, Effiong, et al.
Published: (2026)
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)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks
by: Pes, Lorenzo, et al.
Published: (2025)
by: Pes, Lorenzo, et al.
Published: (2025)
Machine Learning-Based Classification of Jhana Advanced Concentrative Absorption Meditation (ACAM-J) using 7T fMRI
by: Kumar, Puneet, et al.
Published: (2026)
by: Kumar, Puneet, et al.
Published: (2026)
The Deep Learning model of Higher-Lower-Order Cognition, Memory, and Affection- More General Than KAN
by: Tao, Jun-Bo, et al.
Published: (2022)
by: Tao, Jun-Bo, et al.
Published: (2022)
LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behavior
by: Koenig, Benjamin C., et al.
Published: (2025)
by: Koenig, Benjamin C., et al.
Published: (2025)
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
by: Jaziri, Achref, et al.
Published: (2024)
by: Jaziri, Achref, et al.
Published: (2024)
Sleep-Based Homeostatic Regularization for Stabilizing Spike-Timing-Dependent Plasticity in Recurrent Spiking Neural Networks
by: Massey, Andreas, et al.
Published: (2026)
by: Massey, Andreas, et al.
Published: (2026)
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
by: Hernandez, Jose Guadalupe, et al.
Published: (2025)
by: Hernandez, Jose Guadalupe, et al.
Published: (2025)
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
by: Ke, Yuzhen, et al.
Published: (2024)
by: Ke, Yuzhen, et al.
Published: (2024)
SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix
by: Sen, Mrinmay, et al.
Published: (2024)
by: Sen, Mrinmay, et al.
Published: (2024)
An Invariant Information Geometric Method for High-Dimensional Online Optimization
by: Zhang, Zhengfei, et al.
Published: (2024)
by: Zhang, Zhengfei, et al.
Published: (2024)
How Much is Unseen Depends Chiefly on Information About the Seen
by: Lee, Seongmin, et al.
Published: (2024)
by: Lee, Seongmin, et al.
Published: (2024)
Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos
by: Sarmiento, Lucas Fernandez
Published: (2026)
by: Sarmiento, Lucas Fernandez
Published: (2026)
Redundancy Maximization as a Principle of Associative Memory Learning
by: Blümel, Mark, et al.
Published: (2025)
by: Blümel, Mark, et al.
Published: (2025)
Resonant Sparse Geometry Networks
by: Hays, Hasi
Published: (2026)
by: Hays, Hasi
Published: (2026)
AdaptiveMDL-GenClust: A Robust Clustering Framework Integrating Normalized Mutual Information and Evolutionary Algorithms
by: Jahani, H., et al.
Published: (2024)
by: Jahani, H., et al.
Published: (2024)
Similar Items
-
Self-Organization and Spectral Mechanism of Attractor Landscapes in High-Capacity Kernel Hopfield Networks
by: Tamamori, Akira
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) -
Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks
by: Tamamori, Akira
Published: (2025) -
Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)