Saved in:
| Main Authors: | Casnici, Davide, Frenkel, Charlotte, Dauwels, Justin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.08762 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerated Predictive Coding Networks via Direct Kolen-Pollack Feedback Alignment
by: Casnici, Davide, et al.
Published: (2026)
by: Casnici, Davide, et al.
Published: (2026)
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks
by: Islam, Ashhadul, et al.
Published: (2024)
by: Islam, Ashhadul, 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)
$α$-TCVAE: On the relationship between Disentanglement and Diversity
by: Meo, Cristian, et al.
Published: (2024)
by: Meo, Cristian, et al.
Published: (2024)
EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
by: Evers, Thomas, et al.
Published: (2026)
by: Evers, Thomas, et al.
Published: (2026)
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
by: Blanken, Douwe den, et al.
Published: (2025)
by: Blanken, Douwe den, et al.
Published: (2025)
Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors
by: Fenoglio, Dario, et al.
Published: (2025)
by: Fenoglio, Dario, et al.
Published: (2025)
Classification of IED-free EEG Responses for Assisted Epilepsy Diagnosis
by: Zanardini, Giacomo, et al.
Published: (2026)
by: Zanardini, Giacomo, et al.
Published: (2026)
Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
by: Brenner, Rorry, et al.
Published: (2025)
by: Brenner, Rorry, et al.
Published: (2025)
Extreme Precipitation Nowcasting using Transformer-based Generative Models
by: Meo, Cristian, et al.
Published: (2024)
by: Meo, Cristian, et al.
Published: (2024)
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction
by: Tsiolakis, Theodoros, et al.
Published: (2024)
by: Tsiolakis, Theodoros, et al.
Published: (2024)
Link Prediction with Physics-Inspired Graph Neural Networks
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)
Towards the Training of Deeper Predictive Coding Neural Networks
by: Qi, Chang, et al.
Published: (2025)
by: Qi, Chang, et al.
Published: (2025)
Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks
by: Bej, Saptarshi, et al.
Published: (2025)
by: Bej, Saptarshi, et al.
Published: (2025)
BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network
by: Dachille, Justin, et al.
Published: (2026)
by: Dachille, Justin, et al.
Published: (2026)
Dataset Optimization for Chronic Disease Prediction with Bio-Inspired Feature Selection
by: Dyoub, Abeer, et al.
Published: (2023)
by: Dyoub, Abeer, et al.
Published: (2023)
BioNeuralNet: A Graph Neural Network based Multi-Omics Network Data Analysis Tool
by: Ramos, Vicente, et al.
Published: (2025)
by: Ramos, Vicente, et al.
Published: (2025)
Credal Graph Neural Networks
by: Tolloso, Matteo, et al.
Published: (2025)
by: Tolloso, Matteo, et al.
Published: (2025)
Behavior-Inspired Neural Networks for Relational Inference
by: Yang, Yulong, et al.
Published: (2024)
by: Yang, Yulong, et al.
Published: (2024)
Precipitation Nowcasting Using Physics Informed Discriminator Generative Models
by: Yin, Junzhe, et al.
Published: (2024)
by: Yin, Junzhe, et al.
Published: (2024)
PENEX: AdaBoost-Inspired Neural Network Regularization
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024)
by: Sattar, Asma, et al.
Published: (2024)
HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition
by: Qi, Miao, et al.
Published: (2024)
by: Qi, Miao, et al.
Published: (2024)
BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression
by: Meo, Cristian, et al.
Published: (2025)
by: Meo, Cristian, et al.
Published: (2025)
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)
by: Eliasof, Moshe, et al.
Published: (2024)
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
by: Yuan, Zhongju, et al.
Published: (2025)
by: Yuan, Zhongju, et al.
Published: (2025)
Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling
by: Saccardi, Carlo, et al.
Published: (2025)
by: Saccardi, Carlo, et al.
Published: (2025)
Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
by: Pran, Rakib Hassan
Published: (2021)
by: Pran, Rakib Hassan
Published: (2021)
Weak Relation Enforcement for Kinematic-Informed Long-Term Stock Prediction with Artificial Neural Networks
by: Selitskiy, Stanislav
Published: (2025)
by: Selitskiy, Stanislav
Published: (2025)
Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding
by: Selitskiy, Stanislav
Published: (2025)
by: Selitskiy, Stanislav
Published: (2025)
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
by: Meo, Cristian, et al.
Published: (2024)
by: Meo, Cristian, et al.
Published: (2024)
Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors
by: Hooper, Meredith L., et al.
Published: (2024)
by: Hooper, Meredith L., et al.
Published: (2024)
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing Retrieval
by: Fan, Dasheng, et al.
Published: (2024)
by: Fan, Dasheng, et al.
Published: (2024)
Physics-Inspired Binary Neural Networks: Interpretable Compression with Theoretical Guarantees
by: Eamaz, Arian, et al.
Published: (2025)
by: Eamaz, Arian, et al.
Published: (2025)
Deeply Explainable Artificial Neural Network
by: Zucker, David
Published: (2025)
by: Zucker, David
Published: (2025)
Latent Communication in Artificial Neural Networks
by: Moschella, Luca
Published: (2024)
by: Moschella, Luca
Published: (2024)
The Function Representation of Artificial Neural Network
by: Ma, Zhongkui
Published: (2019)
by: Ma, Zhongkui
Published: (2019)
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
by: Wang, Bicheng, et al.
Published: (2025)
by: Wang, Bicheng, et al.
Published: (2025)
GPEX, A Framework For Interpreting Artificial Neural Networks
by: Akbarnejad, Amir, et al.
Published: (2021)
by: Akbarnejad, Amir, et al.
Published: (2021)
Artificial Neural Network and Deep Learning: Fundamentals and Theory
by: Hammad, M. M.
Published: (2024)
by: Hammad, M. M.
Published: (2024)
Similar Items
-
Accelerated Predictive Coding Networks via Direct Kolen-Pollack Feedback Alignment
by: Casnici, Davide, et al.
Published: (2026) -
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks
by: Islam, Ashhadul, 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) -
$α$-TCVAE: On the relationship between Disentanglement and Diversity
by: Meo, Cristian, et al.
Published: (2024) -
EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
by: Evers, Thomas, et al.
Published: (2026)