Resonant Sparse Geometry Networks
Fuente:
arXiv
Saved in:
| Main Author: | Hays, Hasi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Selective Synchronization Attention
by: Hays, Hasi
Published: (2026)
by: Hays, Hasi
Published: (2026)
Hebbian-Oscillatory Co-Learning
by: Hays, Hasi
Published: (2026)
by: Hays, Hasi
Published: (2026)
Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)
by: Zhang, Bowen, et al.
Published: (2025)
The Geometry of ReLU Networks through the ReLU Transition Graph
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal Processing
by: Fulleda-Garcia, Alex, et al.
Published: (2026)
by: Fulleda-Garcia, Alex, et al.
Published: (2026)
Deep ARTMAP: Generalized Hierarchical Learning with Adaptive Resonance Theory
by: Melton, Niklas M., et al.
Published: (2025)
by: Melton, Niklas M., et al.
Published: (2025)
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
by: Lohoff, Jamie, et al.
Published: (2025)
by: Lohoff, Jamie, et al.
Published: (2025)
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
by: Huang, Qi, et al.
Published: (2024)
by: Huang, Qi, et al.
Published: (2024)
Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small
by: Chaudhary, Maheep, et al.
Published: (2024)
by: Chaudhary, Maheep, et al.
Published: (2024)
When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry
by: Korte, Kathrin, et al.
Published: (2026)
by: Korte, Kathrin, et al.
Published: (2026)
ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms
by: Goertzel, Ben
Published: (2025)
by: Goertzel, Ben
Published: (2025)
Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
by: Mazandarani, Mehran, et al.
Published: (2025)
by: Mazandarani, Mehran, et al.
Published: (2025)
Task and Explanation Network
by: Sipper, Moshe
Published: (2024)
by: Sipper, Moshe
Published: (2024)
Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
by: Hussien, Mostafa, et al.
Published: (2024)
by: Hussien, Mostafa, et al.
Published: (2024)
Restricted Bayesian Neural Network
by: Ganguly, Sourav, et al.
Published: (2024)
by: Ganguly, Sourav, et al.
Published: (2024)
Polysemanticity and Capacity in Neural Networks
by: Scherlis, Adam, et al.
Published: (2022)
by: Scherlis, Adam, et al.
Published: (2022)
Deep Oscillatory Neural Network
by: Rohan, Nurani Rajagopal, et al.
Published: (2024)
by: Rohan, Nurani Rajagopal, et al.
Published: (2024)
Time Elastic Neural Networks
by: Marteau, Pierre-François
Published: (2024)
by: Marteau, Pierre-François
Published: (2024)
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
by: Nguyen, Manh V., et al.
Published: (2024)
by: Nguyen, Manh V., et al.
Published: (2024)
Sheaf Neural Networks and biomedical applications
by: Mehrab, Aneeqa, et al.
Published: (2026)
by: Mehrab, Aneeqa, et al.
Published: (2026)
Spark: Modular Spiking Neural Networks
by: Franco, Mario, et al.
Published: (2026)
by: Franco, Mario, et al.
Published: (2026)
Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)
by: Yin, Nan, et al.
Published: (2024)
Estimating Uncertainty with Implicit Quantile Network
by: Lim, Yi Hung
Published: (2024)
by: Lim, Yi Hung
Published: (2024)
Multi-Task Optimization over Networks of Tasks
by: Hatzky, Julian, et al.
Published: (2026)
by: Hatzky, Julian, et al.
Published: (2026)
Introduction to Predictive Coding Networks for Machine Learning
by: Stenlund, Mikko
Published: (2025)
by: Stenlund, Mikko
Published: (2025)
Half-Space Feature Learning in Neural Networks
by: Yadav, Mahesh Lorik, et al.
Published: (2024)
by: Yadav, Mahesh Lorik, et al.
Published: (2024)
Mechanistic Neural Networks for Scientific Machine Learning
by: Pervez, Adeel, et al.
Published: (2024)
by: Pervez, Adeel, et al.
Published: (2024)
Invariant Representations with Stochastically Quantized Neural Networks
by: Cerrato, Mattia, et al.
Published: (2022)
by: Cerrato, Mattia, et al.
Published: (2022)
Machine Unlearning using Forgetting Neural Networks
by: Hatua, Amartya, et al.
Published: (2024)
by: Hatua, Amartya, et al.
Published: (2024)
Dynamic Spiking Framework for Graph Neural Networks
by: Yin, Nan, et al.
Published: (2023)
by: Yin, Nan, et al.
Published: (2023)
Structure of Artificial Neural Networks -- Empirical Investigations
by: Stier, Julian
Published: (2024)
by: Stier, Julian
Published: (2024)
The Enduring Dominance of Deep Neural Networks: A Critical Analysis of the Fundamental Limitations of Quantum Machine Learning and Spiking Neural Networks
by: Ishikawa, Takehiro
Published: (2025)
by: Ishikawa, Takehiro
Published: (2025)
Training Neural Networks with Optimal Double-Bayesian Learning
by: Bui, Vy, et al.
Published: (2026)
by: Bui, Vy, et al.
Published: (2026)
DL101 Neural Network Outputs and Loss Functions
by: Berzal, Fernando
Published: (2025)
by: Berzal, Fernando
Published: (2025)
Learning Sequence Attractors in Recurrent Networks with Hidden Neurons
by: Lu, Yao, et al.
Published: (2024)
by: Lu, Yao, et al.
Published: (2024)
Adversarially Robust Spiking Neural Networks Through Conversion
by: Özdenizci, Ozan, et al.
Published: (2023)
by: Özdenizci, Ozan, et al.
Published: (2023)
Meta-Learning Loss Functions for Deep Neural Networks
by: Raymond, Christian
Published: (2024)
by: Raymond, Christian
Published: (2024)
Uncertainty Aware Neural Network from Similarity and Sensitivity
by: Kabir, H M Dipu, et al.
Published: (2023)
by: Kabir, H M Dipu, et al.
Published: (2023)
Multi-scale Topology Optimization using Neural Networks
by: Chen, Hongrui, et al.
Published: (2024)
by: Chen, Hongrui, et al.
Published: (2024)
Memory Networks: Towards Fully Biologically Plausible Learning
by: Ruiz, Jacobo, et al.
Published: (2024)
by: Ruiz, Jacobo, et al.
Published: (2024)
Similar Items
-
Selective Synchronization Attention
by: Hays, Hasi
Published: (2026) -
Hebbian-Oscillatory Co-Learning
by: Hays, Hasi
Published: (2026) -
Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025) -
The Geometry of ReLU Networks through the ReLU Transition Graph
by: Dhayalkar, Sahil Rajesh
Published: (2025) -
Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal Processing
by: Fulleda-Garcia, Alex, et al.
Published: (2026)