Predictive Coding-based Deep Neural Network Fine-tuning for Computationally Efficient Domain Adaptation https://arxiv.org/abs/2509.20269

Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes https://arxiv.org/abs/2506.23165

Spiking Brain Compression: Exploring One-Shot Post-Training Pruning and Quantization for Spiking Neural Networks https://arxiv.org/abs/2506.03996

Smart Cellular Bricks for Decentralized Shape Classification and Damage Recovery https://arxiv.org/abs/2509.18659

A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization https://arxiv.org/abs/2501.16735

Physics of Learning: A Lagrangian perspective to different learning paradigms https://arxiv.org/abs/2509.21049

The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration https://arxiv.org/abs/2504.15147

Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons https://arxiv.org/abs/2411.10697

A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization https://arxiv.org/abs/2411.08437

Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear Function https://arxiv.org/abs/2206.15238

Predictive Coding-based Deep Neural Network Fine-tuning for Computationally Efficient Domain Adaptation https://arxiv.org/abs/2509.20269

The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit https://arxiv.org/abs/2509.19351

Biologically Plausible Learning via Bidirectional Spike-Based Distillation https://arxiv.org/abs/2509.20284

Projective Kolmogorov Arnold Neural Networks (P-KANs): Entropy-Driven Functional Space Discovery for Interpretable Machine Learning https://arxiv.org/abs/2509.20049

Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems https://arxiv.org/abs/2509.19821

Multi-population Ensemble Genetic Programming via Cooperative Coevolution and Multi-view Learning for Classification https://arxiv.org/abs/2509.19339

Pulling Back the Curtain on ReLU Networks https://arxiv.org/abs/2507.22832

Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms https://arxiv.org/abs/2504.06126

Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks https://arxiv.org/abs/2412.01454

Minimal Neuron Circuits: Bursters https://arxiv.org/abs/2509.17731

Gradient Interference-Aware Graph Coloring for Multitask Learning https://arxiv.org/abs/2509.16959

BeNNS: A Surrogate Model for Hybrid Online-Offline Evolution of SFC Embedding https://arxiv.org/abs/2509.16856

Discovering Software Parallelization Points Using Deep Neural Networks https://arxiv.org/abs/2509.16215

CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing https://arxiv.org/abs/2509.17355

NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem https://arxiv.org/abs/2509.16938

Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families https://arxiv.org/abs/2509.04622

Advanced Physics-Informed Neural Network with Residuals for Solving Complex Integral Equations https://arxiv.org/abs/2501.16370

Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling https://arxiv.org/abs/2505.21717

Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning https://arxiv.org/abs/2502.06301

Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization https://arxiv.org/abs/2507.20923

Evolution Meets Diffusion: Efficient Neural Architecture Generation https://arxiv.org/abs/2504.17827

How Fly Neural Perception Mechanisms Enhance Visuomotor Control of Micro Robots https://arxiv.org/abs/2509.13827

Circuit realization and hardware linearization of monotone operator equilibrium networks https://arxiv.org/abs/2509.13793

Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy https://arxiv.org/abs/2509.13459

Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks https://arxiv.org/abs/2509.13338

A neuromorphic continuous soil monitoring system for precision irrigation https://arxiv.org/abs/2509.14066

Snail Homing and Mating Search Algorithm for Weight Optimization of Stepped-Transmission Shaft https://arxiv.org/abs/2509.13721

Quantifying The Limits of AI Reasoning: Systematic Neural Network Representations of Algorithms https://arxiv.org/abs/2508.18526

Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation https://arxiv.org/abs/2408.17118

A Review on Influx of Bio-Inspired Algorithms: Critique and Improvement Needs https://arxiv.org/abs/2506.04238

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN https://arxiv.org/abs/2412.17629

PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks https://arxiv.org/abs/2211.15386

Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks https://arxiv.org/abs/2509.13053

Wave Function Collapse Set Covering and the Hill Climbing Algorithm: A New, Fast Heuristic and Metaheuristic Pairing for the Minimum Set Cover Problem https://arxiv.org/abs/2509.12236

Large Language Model-assisted Meta-optimizer for Automated Design of Constrained Evolutionary Algorithm https://arxiv.org/abs/2509.13251

A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory https://arxiv.org/abs/2509.12850

Efficient lattice field theory simulation using adaptive normalizing flow on a resistive memory-based neural differential equation solver https://arxiv.org/abs/2509.12812

Fast Fourier Transform-Based Spectral and Temporal Gradient Filtering for Differential Privacy https://arxiv.org/abs/2505.04468

Simplified derivations for high-dimensional convex learning problems https://arxiv.org/abs/2412.01110

Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons https://arxiv.org/abs/2411.16445