🏛️ The Neural & Evolutionary Crypt

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Updating velocities in heterogeneous comprehensive learning particle swarm optimization with low-discrepancy sequences

Yuelin Zhao, Feng Wu, ... (+2 more)

cs.NE 🏛 arXiv 📚 2 cites 3 years ago

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Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks

Marzieh Sadat Esmaeeli, Hamed Malek

cs.NE 🏛 arXiv 📚 2 cites 3 years ago

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Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution

Eyal Segal, Moshe Sipper

cs.NE 🏛 International Joint Conference on Computational Intelligence 📚 2 cites 3 years ago

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Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne

Edgar Galván, Gavin Simpson, Fred Valdez Ameneyro

cs.NE 🏛 IEEE TG 📚 2 cites 3 years ago

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Forecasting Evolution of Clusters in Game Agents with Hebbian Learning

Beomseok Kang, Saibal Mukhopadhyay

cs.NE 🏛 IJCNN 📚 2 cites 3 years ago

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Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions

Frank Neumann, Carsten Witt

cs.NE 🏛 PPSN 📚 2 cites 3 years ago

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Adaptive Latent Factor Analysis via Generalized Momentum-Incorporated Particle Swarm Optimization

Jiufang Chen, Ye Yuan

cs.NE 🏛 ICNSC 📚 2 cites 3 years ago

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Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons

Haibo Shen, Yihao Luo, ... (+4 more)

cs.NE 🏛 ICASSP 📚 2 cites 3 years ago

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A Macrocolumn Architecture Implemented with Spiking Neurons

James E. Smith

cs.NE 🏛 arXiv 📚 2 cites 3 years ago

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Architecture Augmentation for Performance Predictor Based on Graph Isomorphism

Xiangning Xie, Yuqiao Liu, ... (+3 more)

cs.NE 🏛 arXiv 📚 2 cites 4 years ago

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Bio-inspired Machine Learning: programmed death and replication

Andrey Grabovsky, Vitaly Vanchurin

cs.NE 🏛 NCA 📚 2 cites 4 years ago

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Automatic Synthesis of Neurons for Recurrent Neural Nets

Roland Olsson, Chau Tran, Lars Magnusson

cs.NE 🏛 arXiv 📚 2 cites 4 years ago

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Hebbian Continual Representation Learning

Paweł Morawiecki, Andrii Krutsylo, ... (+2 more)

cs.NE 🏛 HICSS 📚 2 cites 4 years ago

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ETO Meets Scheduling: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem

Wendi Xu, Xianpeng Wang

cs.NE 🏛 ACM Cloud and Autonomic Computing Conference 📚 2 cites 4 years ago

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Evolutionary Time-Use Optimization for Improving Children's Health Outcomes

Yue Xie, Aneta Neumann, ... (+4 more)

cs.NE 🏛 PPSN 📚 2 cites 4 years ago

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Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization

Jixiang Chen, Fu Luo, Zhenkun Wang

cs.NE 🏛 GECCO Companion 📚 2 cites 4 years ago

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The Influence of Local Search over Genetic Algorithms with Balanced Representations

Luca Manzoni, Luca Mariot, Eva Tuba

cs.NE 🏛 ICBOMTA 📚 2 cites 4 years ago

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Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU

Hugo Tessier, Vincent Gripon, ... (+4 more)

cs.NE 🏛 SYSINT 📚 2 cites 4 years ago

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DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling

Jihang Wang, Dongcheng Zhao, ... (+3 more)

cs.NE 🏛 arXiv 📚 2 cites 4 years ago

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Analyzing Echo-state Networks Using Fractal Dimension

Norbert Michael Mayer, Oliver Obst

cs.NE 🏛 IJCNN 📚 2 cites 4 years ago

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Neural Networks with Different Initialization Methods for Depression Detection

Tianle Yang

cs.NE 🏛 arXiv 📚 2 cites 4 years ago

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Sequence Learning and Consolidation on Loihi using On-chip Plasticity

Jack Lindsey, James B Aimone

cs.NE 🏛 Neuro Inspired Computational Elements Workshop 📚 2 cites 4 years ago

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Neurochaos Feature Transformation and Classification for Imbalanced Learning

Deeksha Sethi, Nithin Nagaraj, Harikrishnan N B

cs.NE 🏛 arXiv 📚 2 cites 4 years ago

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Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies

Dominik Schröder, Diederick Vermetten, ... (+3 more)

cs.NE 🏛 arXiv 📚 2 cites 4 years ago