Neural and Evolutionary Computing

Papers filed under cs.NE on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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241 to 300 of 1,354

Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier
Ibrahim Omerhodzic, Samir Avdakovic, Amir Nuhanovic +1
cs.NEq-bio.NCarXiv:1307.7897v12013
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
Edgar Galván, Peter Mooney
cs.NEcs.CVcs.LGarXiv:2006.05415v12020
Large Language Models with At Most One Spike per Neuron
Zhuoya Zhao, Parsa Omidi, Aref Jafari +1
cs.NEcs.CLarXiv:2609.05151v12026
Survey of Dropout Methods for Deep Neural Networks
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
cs.NEcs.AIcs.LGarXiv:1904.13310v22019
SparkNet: Training Deep Networks in Spark
Philipp Moritz, Robert Nishihara, Ion Stoica +1
stat.MLcs.DCcs.LGarXiv:1511.06051v42015
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Raz Lapid, Ron Langberg, Moshe Sipper
cs.CLcs.CVcs.NEarXiv:2309.01446v42023
Evolutionary feature selection for spiking neural network pattern classifiers
Michal Valko, Nuno C. Marques, Marco Castelani
cs.NEarXiv:2604.26654v12026
An Analysis of Neural Language Modeling at Multiple Scales
Stephen Merity, Nitish Shirish Keskar, Richard Socher
cs.CLcs.AIcs.NEarXiv:1803.08240v12018
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study
Suyog Gupta, Wei Zhang, Fei Wang
stat.MLcs.DCcs.LGarXiv:1509.04210v32015
Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.07253v12018
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
cs.NEcs.LGarXiv:1804.07802v12018
Towards Efficient Evaluation of Evolutionary Transfer Optimization: Case Studies on Task-Parameterized Applications
Yanchen Li, Xiaoming Xue, Kay Chen Tan
cs.AIcs.NEarXiv:2609.05040v12026
Graph Transformation Policy Network for Chemical Reaction Prediction
Kien Do, Truyen Tran, Svetha Venkatesh
cs.NEarXiv:1812.09441v12018
Swarm Intelligence Based Algorithms: A Critical Analysis
Xin-She Yang
math.OCcs.NEnlin.AOarXiv:1403.7792v12014
RenderGAN: Generating Realistic Labeled Data
Leon Sixt, Benjamin Wild, Tim Landgraf
cs.NEcs.CVarXiv:1611.01331v52016
Predator confusion is sufficient to evolve swarming behavior
Randal S. Olson, Arend Hintze, Fred C. Dyer +2
q-bio.PEcs.NEnlin.AOarXiv:1209.3330v32012
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Yimin Hou, Shuyue Jia, Xiangmin Lun +5
eess.SPcs.LGcs.NEarXiv:2006.08924v42020
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai, Ethan Fetaya, Eli Meirom +2
cs.LGcs.NEstat.MLarXiv:2010.08853v32020
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
Kartik Hegde, Jiyong Yu, Rohit Agrawal +3
cs.NEcs.LGarXiv:1804.06508v12018
An effective algorithm for hyperparameter optimization of neural networks
Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini +1
cs.AIcs.LGcs.NEarXiv:1705.08520v12017
Structured World Models from Human Videos
Russell Mendonca, Shikhar Bahl, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2308.10901v12023
"More Is Different'' in Neural Circuits: Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks
Nima Dehghani
q-bio.NCcs.FLcs.NEarXiv:2608.30231v12026
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Charlotte Frenkel, Giacomo Indiveri
cs.NEcs.ARcs.ETarXiv:2208.09759v12022
Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system
Indranil Pan, Saptarshi Das
eess.SYcs.NEarXiv:1205.1765v22012
Rapid online learning and robust recall in a neuromorphic olfactory circuit
Nabil Imam, Thomas A. Cleland
cs.NEq-bio.NCarXiv:1906.07067v32019
Tensor Programs II: Neural Tangent Kernel for Any Architecture
Greg Yang
stat.MLcond-mat.dis-nncs.LGarXiv:2006.14548v42020
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy
cs.CLcs.AIcs.NEarXiv:1607.07514v12016
Overlearning Reveals Sensitive Attributes
Congzheng Song, Vitaly Shmatikov
cs.LGcs.NEstat.MLarXiv:1905.11742v32019
Dictionary-Guided Mutation Operators for Automated HDL Repair
Maisha Mastora, Dean Sullivan
cs.ETcs.AIcs.ARarXiv:2609.01775v12026
ES-AHD: An Evolution Strategy Framework for Automatic Heuristic Design
Yutao Lai, Kezhao Lai, Hai-Lin Liu +2
cs.NEcs.LGarXiv:2609.00023v12026
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
eess.IVcs.LGcs.NEarXiv:2008.11659v12020
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features
Rahim Taheri, Meysam Ghahramani, Reza Javidan +3
cs.CRcs.LGcs.NEarXiv:1908.05759v22019
Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning
Geng Sun, Jian Xiao, Jiahui Li +4
cs.NEarXiv:2502.05824v12025
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Bin Wang, Yanan Sun, Bing Xue +1
cs.NEcs.CVarXiv:1803.06492v12018
Benchmarking spiking neural networks across sensing modalities on edge devices
Xin Du, Di Yu, Changze Lv +12
cs.NEarXiv:2609.00026v12026
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning
Abubakr Alabbasi, Arnob Ghosh, Vaneet Aggarwal
cs.NEeess.SYarXiv:1903.03882v12019
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
cs.LGcs.NEq-bio.NCarXiv:1903.04476v12019
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Caglar Gulcehre, Kyunghyun Cho, Razvan Pascanu +1
cs.NEcs.LGstat.MLarXiv:1311.1780v72013
Adaptive Neural Trees
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander +2
cs.NEcs.CVcs.LGarXiv:1807.06699v52018
Memory as an Energy Landscape---Hopfield
Nima Dehghani
cs.NEcond-mat.dis-nnnlin.AOarXiv:2609.02195v12026
Neural Logic, Invariance, and the Retina---McCulloch and Pitts
Nima Dehghani
q-bio.NCcond-mat.dis-nncs.FLarXiv:2609.02183v12026
A hybrid bat algorithm
Iztok Fister, Dušan Fister, Xin-She Yang
cs.NEarXiv:1303.6310v32013
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Noe Casas
cs.NEarXiv:1703.09035v22017
Unconstrained Monotonic Neural Networks
Antoine Wehenkel, Gilles Louppe
cs.LGcs.NEstat.MLarXiv:1908.05164v32019
Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
cs.LGcs.NEstat.MLarXiv:1901.06566v12019
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca +9
cs.LGcs.AIcs.NEarXiv:2502.14546v12025
Test-time regression: a unifying framework for designing sequence models with associative memory
Ke Alexander Wang, Jiaxin Shi, Emily B. Fox
cs.LGcs.AIcs.NEarXiv:2501.12352v32025
Meta Context Engineering via Agentic Skill Evolution
Haoran Ye, Xuning He, Vincent Arak +2
cs.AIcs.NEarXiv:2601.21557v22026
PruneShift: A Framework for Evaluating Decision Reliability in Structured Pruning
Hao Ye, Gaopeng Zhang
cs.LGcs.NEarXiv:2608.29765v12026
Unsupervised Learning by Competing Hidden Units
Dmitry Krotov, John Hopfield
cs.LGcs.CVcs.NEarXiv:1806.10181v22018
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
Yi Ding, Neethu Robinson, Chengxuan Tong +2
cs.NEcs.LGeess.SParXiv:2105.02786v32021
Degeneracy: a link between evolvability, robustness and complexity in biological systems
James Whitacre, Axel Bender
nlin.AOcs.NEarXiv:0910.2586v22009
A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services
Anuj Sharma, Dr. Prabin Kumar Panigrahi
cs.NEcs.CEarXiv:1309.3945v12013
Where are we now? A large benchmark study of recent symbolic regression methods
Patryk Orzechowski, William La Cava, Jason H. Moore
cs.NEcs.LGarXiv:1804.09331v22018
GeoPAR: Large-Scale Multi-Agent Combinatorial Optimization with Geometry-Guided Parallel Autoregressive Learning
Wenjian Wu, Zesheng Jia, Jiaying Tang +2
cs.LGcs.AIcs.NEarXiv:2609.00577v12026
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks
Itay Safran, Ohad Shamir
cs.LGcs.NEstat.MLarXiv:1610.09887v32016
Mycelial Search: A Graph-Structured Metaheuristic for Continuous Optimisation
Mohammad Mahdi Dehshibi
cs.NEcs.AIarXiv:2608.23323v12026
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation
Liyiming Ke, Xiujun Li, Yonatan Bisk +6
cs.CLcs.CVcs.LGarXiv:1903.02547v22019
Random feedback weights support learning in deep neural networks
Timothy P. Lillicrap, Daniel Cownden, Douglas B. Tweed +1
q-bio.NCcs.NEarXiv:1411.0247v12014
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Tobias Hinz, Stefan Heinrich, Stefan Wermter
cs.CVcs.LGcs.NEarXiv:1910.13321v22019

Neural and Evolutionary Computing

Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges

Large Language Models with At Most One Spike per Neuron

Survey of Dropout Methods for Deep Neural Networks

SparkNet: Training Deep Networks in Spark

Open Sesame! Universal Black Box Jailbreaking of Large Language Models

Evolutionary feature selection for spiking neural network pattern classifiers

An Analysis of Neural Language Modeling at Multiple Scales

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study

Quantifying Uncertainties in Natural Language Processing Tasks

Value-aware Quantization for Training and Inference of Neural Networks

Towards Efficient Evaluation of Evolutionary Transfer Optimization: Case Studies on Task-Parameterized Applications

Graph Transformation Policy Network for Chemical Reaction Prediction

Swarm Intelligence Based Algorithms: A Critical Analysis

RenderGAN: Generating Realistic Labeled Data

Predator confusion is sufficient to evolve swarming behavior

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

From Local Structures to Size Generalization in Graph Neural Networks

UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition

An effective algorithm for hyperparameter optimization of neural networks

Structured World Models from Human Videos

"More Is Different'' in Neural Circuits: Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks

ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales

Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system

Rapid online learning and robust recall in a neuromorphic olfactory circuit

Tensor Programs II: Neural Tangent Kernel for Any Architecture

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder

Overlearning Reveals Sensitive Attributes

Dictionary-Guided Mutation Operators for Automated HDL Repair

ES-AHD: An Evolution Strategy Framework for Automatic Heuristic Design

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features

Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning

Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification

Benchmarking spiking neural networks across sensing modalities on edge devices

DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning

Continual Learning via Neural Pruning

Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks

Adaptive Neural Trees

Memory as an Energy Landscape---Hopfield

Neural Logic, Invariance, and the Retina---McCulloch and Pitts

A hybrid bat algorithm

Deep Deterministic Policy Gradient for Urban Traffic Light Control

Unconstrained Monotonic Neural Networks

Overfitting Mechanism and Avoidance in Deep Neural Networks

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

Test-time regression: a unifying framework for designing sequence models with associative memory

Meta Context Engineering via Agentic Skill Evolution

PruneShift: A Framework for Evaluating Decision Reliability in Structured Pruning

Unsupervised Learning by Competing Hidden Units

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

Degeneracy: a link between evolvability, robustness and complexity in biological systems

A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services

Where are we now? A large benchmark study of recent symbolic regression methods

GeoPAR: Large-Scale Multi-Agent Combinatorial Optimization with Geometry-Guided Parallel Autoregressive Learning

Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks

Mycelial Search: A Graph-Structured Metaheuristic for Continuous Optimisation

Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation

Random feedback weights support learning in deep neural networks

Semantic Object Accuracy for Generative Text-to-Image Synthesis