🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6370
Total Papers
5604
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Twilight
613
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A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
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FeNN: A RISC-V vector processor for Spiking Neural Network acceleration
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Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection
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Designing morphologies of soft medical devices using cooperative neuro coevolution
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Machine Psychophysics: Cognitive Control in Vision-Language Models
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LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
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Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
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REMS: a unified solution representation, problem modeling and metaheuristic algorithm design for general combinatorial optimization problems
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Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
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Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
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A Perturbation and Speciation-Based Algorithm for Dynamic Optimization Uninformed of Change
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ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
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Energy efficiency analysis of Spiking Neural Networks for space applications
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MID-L: Matrix-Interpolated Dropout Layer with Layer-wise Neuron Selection
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A High-Dimensional Feature Selection Algorithm Based on Multiobjective Differential Evolution
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Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
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PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
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Generate more than one child in your co-evolutionary semi-supervised learning GAN
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A Systematic Study on the Design of Odd-Sized Highly Nonlinear Boolean Functions via Evolutionary Algorithms
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Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio Telescopes
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Advancing RFI-Detection in Radio Astronomy with Liquid State Machines
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Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization
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