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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1,501 to 1,560 of 1,842

A hybrid artificial immune system and Self Organising Map for network intrusion detection
Simon T. Powers, Jun He
cs.NEcs.CRarXiv:1208.0541v12012
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Jack Lanchantin, Ritambhara Singh, Beilun Wang +1
cs.LGcs.CVcs.NEarXiv:1608.03644v42016
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
Yingtao Tian, David Ha
cs.NEcs.CVcs.LGarXiv:2109.08857v22021
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
Alexander Wong, Mahmoud Famuori, Mohammad Javad Shafiee +3
cs.CVcs.NEarXiv:1910.01271v12019
Who invented deep residual learning?
Juergen Schmidhuber
cs.LGcs.NEarXiv:2509.24732v12025
Deep neural networks for single channel source separation
Emad M. Grais, Mehmet Umut Sen, Hakan Erdogan
cs.NEcs.LGarXiv:1311.2746v12013
Cuckoo Search: A Brief Literature Review
I. Fister Jr., X. S. Yang, D. Fister +1
math.OCcs.NEnlin.AOarXiv:1408.5343v12014
Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language
Julian Truetsch, Felix Hauser, Christoph Stiller +1
cs.CVcs.CLcs.LGarXiv:2609.03677v12026
Neural reparameterization improves structural optimization
Stephan Hoyer, Jascha Sohl-Dickstein, Sam Greydanus
cs.LGcs.NEstat.MLarXiv:1909.04240v22019
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
He Du, Bowen Li, Aijun Yang +3
cs.LGcs.AIcs.NEarXiv:2510.17928v12025
From DNA Design to DNA Slimming: Auditable Agentic Discovery of a Deletion-Only Designer
Joel Shor
cs.LGcs.NEq-bio.GNarXiv:2609.40143v12026
MEGConformer: Conformer-Based MEG Decoder for Robust Speech and Phoneme Classification
Xabier de Zuazo, Ibon Saratxaga, Eva Navas
cs.CLcs.LGcs.NEarXiv:2512.01443v22025
Misalignment Resilient Diffractive Optical Networks
Deniz Mengu, Yifan Zhao, Nezih T. Yardimci +3
eess.IVcs.NEphysics.comp-pharXiv:2005.11464v12020
Deep Reinforcement Learning for General Video Game AI
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius +2
cs.LGcs.AIcs.NEarXiv:1806.02448v12018
Understanding Locally Competitive Networks
Rupesh Kumar Srivastava, Jonathan Masci, Faustino Gomez +1
cs.NEcs.LGarXiv:1410.1165v32014
Training Spiking Deep Networks for Neuromorphic Hardware
Eric Hunsberger, Chris Eliasmith
cs.NEcs.LGarXiv:1611.05141v12016
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results
Bingshui Da, Yew-Soon Ong, Liang Feng +6
cs.NEarXiv:1706.03470v12017
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia-Wei Liu, Ryan Lowe, Iulian V. Serban +3
cs.CLcs.AIcs.LGarXiv:1603.08023v22016
Neural GPUs Learn Algorithms
Łukasz Kaiser, Ilya Sutskever
cs.LGcs.NEarXiv:1511.08228v32015
Summaries:한국어
Hopfield Networks is All You Need
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner +13
cs.NEcs.CLcs.LGarXiv:2008.02217v32020
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz, Jan Leike, Tobias Pohlen +3
cs.LGcs.AIcs.NEarXiv:1811.06521v12018
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa +2
cs.NEcs.ARarXiv:1509.08972v22015
Planning to Explore via Self-Supervised World Models
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis +3
cs.LGcs.AIcs.CVarXiv:2005.05960v22020
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Wei Wen, Yuxiong He, Samyam Rajbhandari +6
cs.LGcs.AIcs.CLarXiv:1709.05027v72017
Learning Python Code Suggestion with a Sparse Pointer Network
Avishkar Bhoopchand, Tim Rocktäschel, Earl Barr +1
cs.NEcs.AIcs.CLarXiv:1611.08307v12016
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli +6
cs.CLcs.AIcs.LGarXiv:1506.06714v12015
Working Memory Connections for LSTM
Federico Landi, Lorenzo Baraldi, Marcella Cornia +1
cs.LGcs.CLcs.CVarXiv:2109.00020v12021
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Joel Lehman, Jeff Clune, Dusan Misevic +50
cs.NEarXiv:1803.03453v42018
Smooth Adversarial Training
Cihang Xie, Mingxing Tan, Boqing Gong +2
cs.LGcs.CVcs.NEarXiv:2006.14536v22020
Learning Human Identity from Motion Patterns
Natalia Neverova, Christian Wolf, Griffin Lacey +4
cs.LGcs.CVcs.NEarXiv:1511.03908v42015
ES-AHD: An Evolution Strategy Framework for Automatic Heuristic Design
Yutao Lai, Kezhao Lai, Hai-Lin Liu +2
cs.NEcs.LGarXiv:2609.00023v12026
Scenario-Driven Neuroevolution: Using Models to Guide Test Generation for Games
Gijs van Cuyck, Patric Feldmeier, Jan Tretmans +1
cs.SEcs.NEarXiv:2609.28130v12026
Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories
Akira Tamamori
cs.LGcs.NEarXiv:2609.16827v12026
Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers
Mohammed Yusuf Mujawar, Noorbakhsh Amiri Golilarz
cs.CVcs.NEarXiv:2609.00358v12026
CircuitsDNA: Discovering Unconventional Multi-Accuracy Arithmetic Circuits via Evolutionary Synthesis
Ruichen Qi, Junyi Luo, Xinting Jiang +5
cs.NEarXiv:2609.01735v12026
ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification
M. Middleton, H. Kayan, B. Sen Bhattacharya +7
cs.NEcs.AIcs.CVarXiv:2608.27150v12026
Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrates
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.AIcs.LGarXiv:2608.27612v12026
Low-Power End-to-End Cochlear Implant Speech Denoising with Spiking Neural Networks
Ludovic Boulanger, Sean U. N. Wood
cs.SDcs.NEeess.ASarXiv:2608.28493v12026
Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring
Steven C. Nesbit, Victor M. Vergara, Michael A. Felix +4
cs.NEcs.AIcs.ETarXiv:2608.18341v12026
On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.DCcs.LGarXiv:2608.24480v12026
Procedural Content Metageneration via Program Search and Continual Abstraction Discovery
Matthew Siper, Ahmed Khalifa, Julian Togelius
cs.AIcs.LGcs.NEarXiv:2608.17947v12026
Summaries:한국어
Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees
Rohit Swami, Tushar Singh, Akash Warde +1
cs.CRcs.AIcs.NEarXiv:2608.15407v12026
SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers
Kiran Nair, Rodrigue Rizk, KC Santosh
cs.LGcs.AIcs.CVarXiv:2608.13702v12026
Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers
Tengteng Lei, Prabodh Katti, Rashi Dutt +5
cs.ARcs.LGcs.NEarXiv:2608.21223v12026
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca +9
cs.LGcs.AIcs.NEarXiv:2502.14546v12025
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal
cs.CLcs.AIcs.LGarXiv:2404.07143v22024
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI
Muhammad Aurangzeb Ahmad, Ilker Yaramis, Taposh Dutta Roy
cs.CLcs.AIcs.CVarXiv:2311.01463v12023
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli +3
cs.LGcs.NEarXiv:2402.15490v22024
Large Language Models as Evolutionary Optimizers
Shengcai Liu, Caishun Chen, Xinghua Qu +2
cs.NEarXiv:2310.19046v32023
Online Task Adaptation via Self-Organisation
Krsto Proroković
cs.LGcs.NEarXiv:2609.29281v12026
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shikuang Deng, Yuhang Li, Shanghang Zhang +1
cs.NEcs.AIarXiv:2202.11946v32022
Efficient Neuromorphic Signal Processing with Loihi 2
Garrick Orchard, E. Paxon Frady, Daniel Ben Dayan Rubin +4
cs.ETcs.ARcs.NEarXiv:2111.03746v12021
Primer: Searching for Efficient Transformers for Language Modeling
David R. So, Wojciech Mańke, Hanxiao Liu +3
cs.LGcs.AIcs.CLarXiv:2109.08668v22021
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen +4
cs.SDcs.LGcs.NEarXiv:2010.13309v22020
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
Xiaoliang Dai, Peizhao Zhang, Bichen Wu +10
cs.CVcs.NEarXiv:1812.08934v12018
A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
Antonio LaTorre, Daniel Molina, Eneko Osaba +2
cs.NEcs.AIarXiv:2004.09969v22020
Learning to Continually Learn
Shawn Beaulieu, Lapo Frati, Thomas Miconi +4
cs.LGcs.CVcs.NEarXiv:2002.09571v22020
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Tobias Hinz, Stefan Heinrich, Stefan Wermter
cs.CVcs.LGcs.NEarXiv:1910.13321v22019
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Dongxu Li, Cristian Rodriguez Opazo, Xin Yu +1
cs.CVcs.HCcs.MMarXiv:1910.11006v22019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
cs.IRcs.LGcs.NEarXiv:1907.06902v32019
Summaries:한국어

Neural and Evolutionary Computing

A hybrid artificial immune system and Self Organising Map for network intrusion detection

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection

Who invented deep residual learning?

Deep neural networks for single channel source separation

Cuckoo Search: A Brief Literature Review

Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language

Neural reparameterization improves structural optimization

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning

From DNA Design to DNA Slimming: Auditable Agentic Discovery of a Deletion-Only Designer

MEGConformer: Conformer-Based MEG Decoder for Robust Speech and Phoneme Classification

Misalignment Resilient Diffractive Optical Networks

Deep Reinforcement Learning for General Video Game AI

Understanding Locally Competitive Networks

Training Spiking Deep Networks for Neuromorphic Hardware

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

Neural GPUs Learn Algorithms

Hopfield Networks is All You Need

Reward learning from human preferences and demonstrations in Atari

VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing

Planning to Explore via Self-Supervised World Models

Learning Intrinsic Sparse Structures within Long Short-Term Memory

Learning Python Code Suggestion with a Sparse Pointer Network

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

Working Memory Connections for LSTM

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Smooth Adversarial Training

Learning Human Identity from Motion Patterns

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

Scenario-Driven Neuroevolution: Using Models to Guide Test Generation for Games

Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories

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

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

ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification

Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrates

Low-Power End-to-End Cochlear Implant Speech Denoising with Spiking Neural Networks

Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring

On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT

Procedural Content Metageneration via Program Search and Continual Abstraction Discovery

Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees

SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers

Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

Large Language Models as Evolutionary Optimizers

Online Task Adaptation via Self-Organisation

Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Efficient Neuromorphic Signal Processing with Loihi 2

Primer: Searching for Efficient Transformers for Language Modeling

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms

Learning to Continually Learn

Semantic Object Accuracy for Generative Text-to-Image Synthesis

Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches