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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6370
Total Papers
5604
No Code
153
Twilight
613
Has Code
9.6%
Survival Rate
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Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
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Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA
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A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes
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Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced
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Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization
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On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals
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Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
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Pre-Sorted Tsetlin Machine (The Genetic K-Medoid Method)
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Benchmarking Spiking Neural Network Learning Methods with Varying Locality
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EvoMerge: Neuroevolution for Large Language Models
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Quantum Inspired Chaotic Salp Swarm Optimization for Dynamic Optimization
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Artificial Cardiac Conduction System: Simulating Heart Function for Advanced Computational Problem Solving
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Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
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A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
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Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion
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Deep Pulse-Coupled Neural Networks
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Physics-informed neural network for modeling dynamic linear elasticity
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Delving Deeper Into Astromorphic Transformers
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Edge computing service deployment and task offloading based on multi-task high-dimensional multi-objective optimization
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Eternal Rest
Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
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Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
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An Analysis on the Effects of Evolving the Monte Carlo Tree Search Upper Confidence for Trees Selection Policy on Unimodal, Multimodal and Deceptive Landscapes
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