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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6354
Total Papers
5604
No Code
153
Twilight
597
Has Code
9.4%
Survival Rate
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First Steps Towards a Runtime Analysis of Neuroevolution
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Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
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The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
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Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results
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Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
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Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
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Towards an Automatic Optimisation Model Generator Assisted with Generative Pre-trained Transformer
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Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy
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How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs
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Computational and Exploratory Landscape Analysis of the GKLS Generator
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Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes
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Modularizing and Assembling Cognitive Map Learners via Hyperdimensional Computing
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RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults
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Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
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HOTGP -- Higher-Order Typed Genetic Programming
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Data Aware Neural Architecture Search
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Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks
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When to be critical? Performance and evolvability in different regimes of neural Ising agents
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When Evolutionary Computation Meets Privacy
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MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
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Improved Runtime Results for Simple Randomised Search Heuristics on Linear Functions with a Uniform Constraint
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GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning
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