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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301 to 360 of 1,351

Quantum Neuron: an elementary building block for machine learning on quantum computers
Yudong Cao, Gian Giacomo Guerreschi, Alán Aspuru-Guzik
quant-phcs.NEarXiv:1711.11240v12017
Do Language Models Use Their Depth Efficiently?
Róbert Csordás, Christopher D. Manning, Christopher Potts
cs.LGcs.AIcs.NEarXiv:2505.13898v32025
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Oran Lang, Yossi Gandelsman, Michal Yarom +8
cs.CVcs.LGcs.NEarXiv:2104.13369v22021
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)
Viraj Bangari, Bicky A. Marquez, Heidi B. Miller +6
eess.SPcs.NEphysics.app-pharXiv:1907.01525v12019
Coronavirus Optimization Algorithm: A Success-History Adaptive Evolutionary Framework with Archive-Assisted Search and Stagnation Recovery for Global Optimization
Hari Mohan Pandey
cs.NEcs.AIcs.CCarXiv:2608.23847v12026
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Changde Du, Kaicheng Fu, Jinpeng Li +1
cs.CVcs.AIcs.MMarXiv:2210.06756v22022
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Yingyezhe Jin, Wenrui Zhang, Peng Li
cs.NEcs.LGarXiv:1805.07866v62018
Reasoning About Pragmatics with Neural Listeners and Speakers
Jacob Andreas, Dan Klein
cs.CLcs.NEarXiv:1604.00562v22016
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms
Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan +2
cs.NEcs.AIarXiv:2212.09479v12022
Reconstructing Training Data from Trained Neural Networks
Niv Haim, Gal Vardi, Gilad Yehudai +2
cs.LGcs.CRcs.CVarXiv:2206.07758v32022
Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search
Enrong Pan, Ryan Zhou, Ting Hu
cs.AIcs.LGcs.NEarXiv:2609.00652v12026
Self-Adaptive Hierarchical Sentence Model
Han Zhao, Zhengdong Lu, Pascal Poupart
cs.CLcs.LGcs.NEarXiv:1504.05070v22015
Incorporating Domain Knowledge into Deep Neural Networks
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja +1
cs.NEcs.AIcs.LGarXiv:2103.00180v22021
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen, Alexander N. Olesen, Mads Olsen +27
cs.NEarXiv:1710.02094v22017
A Mean Field Theory of Batch Normalization
Greg Yang, Jeffrey Pennington, Vinay Rao +2
cs.NEcond-mat.dis-nncs.LGarXiv:1902.08129v22019
CircuitsDNA: Discovering Unconventional Multi-Accuracy Arithmetic Circuits via Evolutionary Synthesis
Ruichen Qi, Junyi Luo, Xinting Jiang +5
cs.NEarXiv:2609.01735v12026
Learning Human Identity from Motion Patterns
Natalia Neverova, Christian Wolf, Griffin Lacey +4
cs.LGcs.CVcs.NEarXiv:1511.03908v42015
EvoX: Meta-Evolution for Automated Discovery
Shu Liu, Shubham Agarwal, Monishwaran Maheswaran +14
cs.LGcs.CLcs.NEarXiv:2602.23413v22026
Web Price Extraction: State of the Art and an Adaptive Browserless Implementation
Evgeniia Kositsyna, Jorge Lloret-Gazo
cs.IRcs.LGcs.NEarXiv:2609.01030v12026
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing, Yichen Shen, Tena Dubček +5
cs.LGcs.NEstat.MLarXiv:1612.05231v32016
Natural Neural Networks
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu +1
stat.MLcs.LGcs.NEarXiv:1507.00210v12015
Rethinking Learnability in Offline Data-driven Optimization
Chao Qian, Chen-Guang Wang, Rong-Xi Tan +1
cs.LGcs.AIcs.NEarXiv:2609.01493v22026
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Yukun Bao, Zhongyi Hu, Tao Xiong
cs.LGcs.AIcs.NEarXiv:1401.1926v12014
Source localization in an ocean waveguide using supervised machine learning
Haiqiang Niu, Emma Reeves, Peter Gerstoft
physics.ao-phcs.NEphysics.geo-pharXiv:1701.08431v42017
Quad-networks: unsupervised learning to rank for interest point detection
Nikolay Savinov, Akihito Seki, Lubor Ladicky +2
cs.CVcs.LGcs.NEarXiv:1611.07571v22016
Attention Strategies for Multi-Source Sequence-to-Sequence Learning
Jindřich Libovický, Jindřich Helcl
cs.CLcs.NEarXiv:1704.06567v12017
Attending to Characters in Neural Sequence Labeling Models
Marek Rei, Gamal K. O. Crichton, Sampo Pyysalo
cs.CLcs.LGcs.NEarXiv:1611.04361v12016
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes, Guillermo Sapiro, Alex M. Bronstein
cs.NEcs.LGstat.MLarXiv:1504.08291v52015
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao, Xuhui Huang, Meng Dong +1
cs.NEcs.AIcs.LGarXiv:1812.06574v32018
Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm
Vassilis Vassiliades, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
cs.NEarXiv:1610.05729v22016
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro +4
cs.CLcs.AIcs.LGarXiv:1606.00776v22016
Neural Pruning via Growing Regularization
Huan Wang, Can Qin, Yulun Zhang +1
cs.CVcs.AIcs.LGarXiv:2012.09243v22020
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Qingyan Meng, Mingqing Xiao, Shen Yan +3
cs.NEcs.LGarXiv:2205.00459v22022
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Seungwoo Choi, Seokjun Seo, Beomjun Shin +5
cs.SDcs.LGcs.NEarXiv:1904.03814v22019
Reinforcement learning to choose optimizers
Martin van der Schelling, Deepesh Toshniwal, Miguel A. Bessa
cs.NEcs.LGmath.OCarXiv:2609.01811v12026
The power of deeper networks for expressing natural functions
David Rolnick, Max Tegmark
cs.LGcs.NEstat.MLarXiv:1705.05502v22017
ECG Feature Extraction Techniques - A Survey Approach
S. Karpagachelvi, M. Arthanari, M. Sivakumar
cs.NEcs.AIphysics.med-pharXiv:1005.0957v12010
Universality and individuality in neural dynamics across large populations of recurrent networks
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub +2
q-bio.NCcs.NEarXiv:1907.08549v22019
AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
Mert Cemri, Shubham Agrawal, Akshat Gupta +9
cs.NEcs.AIcs.CLarXiv:2602.20133v12026
Improved Speech Enhancement with the Wave-U-Net
Craig Macartney, Tillman Weyde
cs.SDcs.LGcs.NEarXiv:1811.11307v12018
Evolutionary bagging for ensemble learning
Giang Ngo, Rodney Beard, Rohitash Chandra
cs.NEcs.AIarXiv:2208.02400v32022
Flawed in Nature, Perfect through Evolution
J. M. Diederik Kruijssen
cs.LGcs.AIcs.NEarXiv:2609.00129v12026
The Variational Gaussian Process
Dustin Tran, Rajesh Ranganath, David M. Blei
stat.MLcs.LGcs.NEarXiv:1511.06499v42015
Neural Symbollic Regression Using Deep Learning and Sparse Modelling
Ravi Kumar U, Sumitra S
cs.LGcs.NEcs.SCarXiv:2609.01102v12026
From neural PCA to deep unsupervised learning
Harri Valpola
stat.MLcs.LGcs.NEarXiv:1411.7783v22014
Classification and Geometry of General Perceptual Manifolds
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
cond-mat.dis-nncond-mat.stat-mechcs.NEarXiv:1710.06487v32017
Metaheuristic Optimization: Algorithm Analysis and Open Problems
Xin-She Yang
math.OCcs.NEarXiv:1212.0220v12012
Methods for Pruning Deep Neural Networks
Sunil Vadera, Salem Ameen
cs.LGcs.NEarXiv:2011.00241v22020
Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers
Mohammed Yusuf Mujawar, Noorbakhsh Amiri Golilarz
cs.CVcs.NEarXiv:2609.00358v12026
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation
Iulia M. Comsa, Krzysztof Potempa, Luca Versari +3
cs.NEcs.LGq-bio.NCarXiv:1907.13223v32019
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa +2
cs.NEcs.ARarXiv:1509.08972v22015
Associative Long Short-Term Memory
Ivo Danihelka, Greg Wayne, Benigno Uria +2
cs.NEarXiv:1602.03032v22016
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie, Jiang Xiong, Shiliang Pu
cs.CVcs.LGcs.NEarXiv:1703.01827v32017
Artificial Neural Networks Applied to Taxi Destination Prediction
Alexandre de Brébisson, Étienne Simon, Alex Auvolat +2
cs.LGcs.NEarXiv:1508.00021v22015
Random vector functional link network: recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie +2
cs.NEcs.LGcs.ROarXiv:2203.11316v22022
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
Andy Brown, Aaron Tuor, Brian Hutchinson +1
cs.LGcs.NEstat.MLarXiv:1803.04967v12018
On the Power and Limitations of Random Features for Understanding Neural Networks
Gilad Yehudai, Ohad Shamir
cs.LGcs.NEstat.MLarXiv:1904.00687v42019
Network Morphism
Tao Wei, Changhu Wang, Yong Rui +1
cs.LGcs.CVcs.NEarXiv:1603.01670v22016
Mathematical exploration and discovery at scale
Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao +1
cs.NEcs.AImath.CAarXiv:2511.02864v32025
H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression
Anchit Mulye, Rhythm Baghel, Sujay Kumar Ingle +1
cs.LGcs.ARcs.NEarXiv:2609.02684v12026

Neural and Evolutionary Computing

Quantum Neuron: an elementary building block for machine learning on quantum computers

Do Language Models Use Their Depth Efficiently?

Explaining in Style: Training a GAN to explain a classifier in StyleSpace

Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

Coronavirus Optimization Algorithm: A Success-History Adaptive Evolutionary Framework with Archive-Assisted Search and Stagnation Recovery for Global Optimization

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

Reasoning About Pragmatics with Neural Listeners and Speakers

Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms

Reconstructing Training Data from Trained Neural Networks

Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search

Self-Adaptive Hierarchical Sentence Model

Incorporating Domain Knowledge into Deep Neural Networks

Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy

A Mean Field Theory of Batch Normalization

CircuitsDNA: Discovering Unconventional Multi-Accuracy Arithmetic Circuits via Evolutionary Synthesis

Learning Human Identity from Motion Patterns

EvoX: Meta-Evolution for Automated Discovery

Web Price Extraction: State of the Art and an Adaptive Browserless Implementation

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Natural Neural Networks

Rethinking Learnability in Offline Data-driven Optimization

A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization

Source localization in an ocean waveguide using supervised machine learning

Quad-networks: unsupervised learning to rank for interest point detection

Attention Strategies for Multi-Source Sequence-to-Sequence Learning

Attending to Characters in Neural Sequence Labeling Models

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule

Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

Neural Pruning via Growing Regularization

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

Reinforcement learning to choose optimizers

The power of deeper networks for expressing natural functions

ECG Feature Extraction Techniques - A Survey Approach

Universality and individuality in neural dynamics across large populations of recurrent networks

AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization

Improved Speech Enhancement with the Wave-U-Net

Evolutionary bagging for ensemble learning

Flawed in Nature, Perfect through Evolution

The Variational Gaussian Process

Neural Symbollic Regression Using Deep Learning and Sparse Modelling

From neural PCA to deep unsupervised learning

Classification and Geometry of General Perceptual Manifolds

Metaheuristic Optimization: Algorithm Analysis and Open Problems

Methods for Pruning Deep Neural Networks

Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers

Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation

VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing

Associative Long Short-Term Memory

All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation

Artificial Neural Networks Applied to Taxi Destination Prediction

Random vector functional link network: recent developments, applications, and future directions

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

On the Power and Limitations of Random Features for Understanding Neural Networks

Network Morphism

Mathematical exploration and discovery at scale

H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression