Causal Learning with Neural Assemblies
Fuente:
arXiv
Saved in:
| Main Authors: | Kopadi, Evangelia, Kalles, Dimitris |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comparative analysis of neural network architectures for short-term FOREX forecasting
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
by: Apolinario, Marco Paul E., et al.
Published: (2024)
by: Apolinario, Marco Paul E., et al.
Published: (2024)
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)
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)
by: Xiao, Mingqing, et al.
Published: (2024)
Training Neural Networks with Optimal Double-Bayesian Learning
by: Bui, Vy, et al.
Published: (2026)
by: Bui, Vy, et al.
Published: (2026)
Meta-Learning Loss Functions for Deep Neural Networks
by: Raymond, Christian
Published: (2024)
by: Raymond, Christian
Published: (2024)
Learning to Reduce Search Space for Generalizable Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2025)
by: Zhou, Changliang, et al.
Published: (2025)
Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning
by: Lala, Aarav, et al.
Published: (2025)
by: Lala, Aarav, et al.
Published: (2025)
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
by: Soures, Nicholas, et al.
Published: (2024)
by: Soures, Nicholas, et al.
Published: (2024)
Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
by: Tang, Bo, et al.
Published: (2026)
by: Tang, Bo, et al.
Published: (2026)
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization
by: Terres-Escudero, Erik B., et al.
Published: (2024)
by: Terres-Escudero, Erik B., et al.
Published: (2024)
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)
by: Yin, Huifeng, et al.
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)
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
by: Devkota, Avaneesh, et al.
Published: (2024)
by: Devkota, Avaneesh, et al.
Published: (2024)
Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
by: Csordás, Róbert, et al.
Published: (2024)
by: Csordás, Róbert, et al.
Published: (2024)
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
by: Apolinario, Marco Paul E., et al.
Published: (2025)
by: Apolinario, Marco Paul E., et al.
Published: (2025)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
by: Chen, Dong, et al.
Published: (2024)
by: Chen, Dong, et al.
Published: (2024)
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks
by: D'Agostino, Danny, et al.
Published: (2023)
by: D'Agostino, Danny, et al.
Published: (2023)
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)
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)
by: Xie, Hui, et al.
Published: (2025)
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
by: Wang, Jiachuan, et al.
Published: (2023)
by: Wang, Jiachuan, et al.
Published: (2023)
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
by: Mazandarani, Mehran, et al.
Published: (2025)
by: Mazandarani, Mehran, et al.
Published: (2025)
Neural Interpretable Reasoning
by: Barbiero, Pietro, et al.
Published: (2025)
by: Barbiero, Pietro, et al.
Published: (2025)
Probabilistic Neural Circuits
by: Martires, Pedro Zuidberg Dos
Published: (2024)
by: Martires, Pedro Zuidberg Dos
Published: (2024)
Projective Kolmogorov Arnold Neural Networks (P-KANs): Entropy-Driven Functional Space Discovery for Interpretable Machine Learning
by: Poole, Alastair, et al.
Published: (2025)
by: Poole, Alastair, et al.
Published: (2025)
Deep Neural Regression Collapse
by: Rangamani, Akshay, et al.
Published: (2026)
by: Rangamani, Akshay, et al.
Published: (2026)
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)
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)
Interpretable Neural-Symbolic Concept Reasoning
by: Barbiero, Pietro, et al.
Published: (2023)
by: Barbiero, Pietro, et al.
Published: (2023)
Feedback Favors the Generalization of Neural ODEs
by: Jia, Jindou, et al.
Published: (2024)
by: Jia, Jindou, et al.
Published: (2024)
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)
A Resource Model For Neural Scaling Law
by: Song, Jinyeop, et al.
Published: (2024)
by: Song, Jinyeop, et al.
Published: (2024)
Similar Items
-
Comparative analysis of neural network architectures for short-term FOREX forecasting
by: Zafeiriou, Theodoros, et al.
Published: (2024) -
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
by: Apolinario, Marco Paul E., et al.
Published: (2024) -
Half-Space Feature Learning in Neural Networks
by: Yadav, Mahesh Lorik, et al.
Published: (2024) -
Mechanistic Neural Networks for Scientific Machine Learning
by: Pervez, Adeel, et al.
Published: (2024) -
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)