:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bowen, E, Granger, R, Rodriguez, A
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2602.04911
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
by: Keisler, Julie, et al.
Published: (2023)

Differentiable architecture search with multi-dimensional attention for spiking neural networks
by: Man, Yilei, et al.
Published: (2024)

Comparative analysis of neural network architectures for short-term FOREX forecasting
by: Zafeiriou, Theodoros, et al.
Published: (2024)

Reconsidering the energy efficiency of spiking neural networks
by: Yan, Zhanglu, et al.
Published: (2024)

Interpolating neural network: A novel unification of machine learning and interpolation theory
by: Park, Chanwook, et al.
Published: (2024)

Gate-level boolean evolutionary geometric attention neural networks
by: Shi, Xianshuai, et al.
Published: (2025)

Towards graph neural networks for provably solving convex optimization problems
by: Qian, Chendi, et al.
Published: (2025)

Similarity-based context aware continual learning for spiking neural networks
by: Han, Bing, et al.
Published: (2024)

Fractional-order spike-timing-dependent gradient descent for multi-layer spiking neural networks
by: Yang, Yi, et al.
Published: (2024)

From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
by: Russin, Jacob, et al.
Published: (2024)

Long-only cryptocurrency portfolio management by ranking the assets: a neural network approach
by: Yang, Zijiang
Published: (2025)

KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)

Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture
by: Dutta, Prasun, et al.
Published: (2025)

Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)

Early stopping by correlating online indicators in neural networks
by: Ferro, Manuel Vilares, et al.
Published: (2024)

AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework
by: Pietroń, Marcin, et al.
Published: (2024)

pyhgf: A neural network library for predictive coding
by: Legrand, Nicolas, et al.
Published: (2024)

Sup3r: A Semi-Supervised Algorithm for increasing Sparsity, Stability, and Separability in Hierarchy Of Time-Surfaces architectures
by: Rasetto, Marco, et al.
Published: (2024)

Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)

Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics
by: Shetty, Sanjana
Published: (2024)

Causal pieces: analysing and improving spiking neural networks piece by piece
by: Dold, Dominik, et al.
Published: (2025)

Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)

Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing
by: Ahmed, Khubaib, et al.
Published: (2022)

Self-orthogonalizing attractor neural networks emerging from the free energy principle
by: Spisak, Tamas, et al.
Published: (2025)

Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions
by: Drammis, Sabrina, et al.
Published: (2024)

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)

Kolmogorov-Arnold networks for metal surface defect classification
by: Krzywda, Maciej, et al.
Published: (2025)

QuasiNet: a neural network with trainable product layers
by: Malinovská, Kristína, et al.
Published: (2023)

A Theory of Relation Learning and Cross-domain Generalization
by: Doumas, Leonidas A. A., et al.
Published: (2019)

Updating the standard neuron model in artificial neural networks
by: Mohedano, Raul, et al.
Published: (2026)

Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)

Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
by: Schetakis, Nikolaos, et al.
Published: (2025)

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
by: Altarabichi, Mohammed Ghaith, et al.
Published: (2024)

Multi-Task Optimization over Networks of Tasks
by: Hatzky, Julian, et al.
Published: (2026)

TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
by: Apolinario, Marco Paul E., et al.
Published: (2025)

Geometric Monomial (GEM): a family of rational 2N-differentiable activation functions
by: Krause, Eylon E.
Published: (2026)

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition
by: Farias, Lucas R. C., et al.
Published: (2024)

Gated recurrent neural network with TPE Bayesian optimization for enhancing stock index prediction accuracy
by: Dinda, Bivas
Published: (2024)

Learning and Improving Backgammon Strategy
by: Galperin, Gregory R.
Published: (2025)

Dynamics of specialization in neural modules under resource constraints
by: Béna, Gabriel, et al.
Published: (2021)