:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pienaar, Johannes J., Bosman, Anna S., Malan, Katherine M.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2408.00526
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
by: Schlender, Thalea, et al.
Published: (2026)

Distal Interference: Exploring the Limits of Model-Based Continual Learning
by: van Deventer, Heinrich, et al.
Published: (2024)

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

Neuromorphic dreaming: A pathway to efficient learning in artificial agents
by: Blakowski, Ingo, et al.
Published: (2024)

MXNorm: Reusing MXFP block scales for efficient tensor normalisation
by: McLean, Callum, et al.
Published: (2026)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
by: Booysen, Reinhard, et al.
Published: (2024)

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

SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning
by: Tahmid, Tokey, et al.
Published: (2025)

Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems
by: Sada, Abdelkarim Ben, et al.
Published: (2024)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)

A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
by: van Stein, Niki, et al.
Published: (2024)

A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
by: Li, Jinyan, et al.
Published: (2025)

Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysis
by: Karimi, Kamyab, et al.
Published: (2024)

The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit
by: Xie, Katherine, et al.
Published: (2025)

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
by: Knigge, David M., et al.
Published: (2024)

Supertrust foundational alignment: mutual trust must replace permanent control for safe superintelligence
by: Mazzu, James M.
Published: (2024)

Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
by: Bossens, David M.
Published: (2023)

Hierarchical Residuals Exploit Brain-Inspired Compositionality
by: López, Francisco M., et al.
Published: (2025)

DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
by: Ghanathe, Nikhil P, et al.
Published: (2024)

A Novel Machine Learning Classifier Based on Genetic Algorithms and Data Importance Reformatting
by: Alkhayyata, A. K., et al.
Published: (2024)

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

Q-S5: Towards Quantized State Space Models
by: Abreu, Steven, et al.
Published: (2024)

Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing
by: Chu, Hong T. M., et al.
Published: (2024)

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

Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
by: Mavor-Parker, Augustine N., et al.
Published: (2024)

Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks
by: Aravind, Aditi, et al.
Published: (2026)

AlphaEvolve: A coding agent for scientific and algorithmic discovery
by: Novikov, Alexander, et al.
Published: (2025)

Deep ARTMAP: Generalized Hierarchical Learning with Adaptive Resonance Theory
by: Melton, Niklas M., et al.
Published: (2025)

Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
by: Saini, Anil K., et al.
Published: (2025)

Evolutionary Architecture Search through Grammar-Based Sequence Alignment
by: Martín, Adri Gómez, et al.
Published: (2025)

Enriching language models with graph-based context information to better understand textual data
by: Roethel, Albert, et al.
Published: (2023)

Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
by: Walter, Andrew, et al.
Published: (2024)

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

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
by: Bechler-Speicher, Maya, et al.
Published: (2025)

Uncertainty Aware Neural Network from Similarity and Sensitivity
by: Kabir, H M Dipu, et al.
Published: (2023)

CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
by: Guo, Ping, et al.
Published: (2024)

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods
by: Lin, Wei, et al.
Published: (2024)

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024)

Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
by: Vinhas, Adriano, et al.
Published: (2024)

MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
by: Yun, Daniel
Published: (2024)