🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
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Total Papers
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Twilight
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The Enduring Dominance of Deep Neural Networks: A Critical Analysis of the Fundamental Limitations of Quantum Machine Learning and Spiking Neural Networks
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Evolutionary Computation as Natural Generative AI
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A many-objective evolutionary algorithm using indicator-driven weight vector optimization
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VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI
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A Digital Pheromone-Based Approach for In/Out-of-Control Classification
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Microscaling Floating Point Formats for Large Language Models
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Scaling Equilibrium Propagation to Deeper Neural Network Architectures
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A Neural Surrogate-Enhanced Multi-Method Framework for Robust Wing Design Optimization
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PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
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More than MACs: Exploring the Role of Neuromorphic Engineering in the Age of LLMs
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Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
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Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
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Projective Kolmogorov Arnold Neural Networks (P-KANs): Entropy-Driven Functional Space Discovery for Interpretable Machine Learning
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Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
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Smart Cellular Bricks for Decentralized Shape Classification and Damage Recovery
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Smart Routing for EV Charge Point Operators in Mega Cities: Case Study of Istanbul
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CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
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Domain-Informed Genetic Superposition Programming: A Case Study on SFRC Beams
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A neuromorphic continuous soil monitoring system for precision irrigation
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Snail Homing and Mating Search Algorithm for Weight Optimization of Stepped-Transmission Shaft
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Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
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A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory
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