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.

Search paper metadata (including unsummarized papers)

1 to 60 of 1,351

End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston +1
cs.NEcs.CLarXiv:1503.08895v52015
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini
cs.LGcs.CVcs.NEarXiv:1907.03799v32019
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer
cs.LGcs.AIcs.NEarXiv:2507.14172v22025
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao, Jaehoon Lee +6
stat.MLcs.AIcs.LGarXiv:1810.05148v42018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch +3
cs.CLcs.AIcs.NEarXiv:1804.09299v22018
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
Kyeong Soo Kim, Sanghyuk Lee, Kaizhu Huang
cs.NIcs.LGcs.NEarXiv:1712.01990v12017
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba +3
cs.LGcs.CVcs.NEarXiv:1606.03498v12016
Continuous online sequence learning with an unsupervised neural network model
Yuwei Cui, Subutai Ahmad, Jeff Hawkins
cs.NEq-bio.NCarXiv:1512.05463v22015
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1412.1602v12014
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15
cs.AIcs.LGcs.NEarXiv:2506.13131v12025
Language models suffer from a curse of ambiguity
Nicolas Zucchet, Hyun Dong Lee, Scott Linderman
cs.CLcs.LGcs.NEarXiv:2608.15448v12026
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu, Kalyanmoy Deb, Erik Goodman +2
cs.CVcs.LGcs.NEarXiv:2007.10396v12020
Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala, Janne Hellsten +3
cs.CVcs.LGcs.NEarXiv:2006.06676v22020
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel +1
cs.NEcs.LGq-bio.NCarXiv:1910.07407v32019
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong Nguyen Nguyen, Jean Meunier
cs.CVcs.LGcs.NEarXiv:1908.06351v12019
Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders
A. Martina Neuman, Dominik Dold, Philipp Christian Petersen
cs.NEcs.LGmath.FAarXiv:2404.04549v32024
Expressivity of Spiking Neural Networks
Manjot Singh, Adalbert Fono, Gitta Kutyniok
cs.NEarXiv:2308.08218v22023
Deep Activity Recognition Models with Triaxial Accelerometers
Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato +3
cs.LGcs.HCcs.NEarXiv:1511.04664v22015
Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks
Tai-Yu Ma, Sébastien Faye
cs.LGcs.NEarXiv:2106.04986v22021
BLADE: ReliaBle Dynamic Hardware-Aware SNN-ANN Boundary SeLection for Event-BAseD Object DEtection
Mahdi Taheri, Alwin Paul
cs.NEcs.AIcs.ARarXiv:2609.17562v12026
Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.LGarXiv:2609.17067v12026
Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics
Zongmin Liu
cs.LGcs.NEstat.MLarXiv:2609.12994v12026
Big Brains and Changing Environments: Cause or Consequence?
Sian Heesom-Green, Jonathan Shock, Geoff Nitschke
cs.NEcs.AIq-bio.PEarXiv:2609.15569v12026
HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses
Jieyuan Liu, Mengzhou Hu, Jefferson Chen +10
cs.CLcs.CEcs.MAarXiv:2609.15938v12026
Data-Free Network Quantization With Adversarial Knowledge Distillation
Yoojin Choi, Jihwan Choi, Mostafa El-Khamy +1
cs.CVcs.LGcs.NEarXiv:2005.04136v12020
Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories
Akira Tamamori
cs.LGcs.NEarXiv:2609.16827v12026
Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior
Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1
cs.AIcs.CVcs.HCarXiv:2609.17064v12026
LLMDE: A Large Language Model-Driven Differential Evolution Algorithm for Portfolio Optimization
Rong Chai, Vaclav Snasel, Xiaopeng Wang +2
cs.NEarXiv:2609.16846v12026
MAAPO:an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation
Xiaopeng Wang, Vaclav Snasel, Seyedali Mirjalili +1
cs.NEarXiv:2609.12756v12026
Design of optical neural networks with component imprecisions
Michael Y. -S. Fang, Sasikanth Manipatruni, Casimir Wierzynski +2
cs.NEcs.ETphysics.opticsarXiv:2001.01681v12019
Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks
Shivang Rawat, Mirko Morello, Flaviano Morone +1
cs.LGcs.NEq-bio.NCarXiv:2609.04134v12026
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang +9
cs.LGcs.AIcs.CLarXiv:2302.06675v42023
Transfer Learning for Named-Entity Recognition with Neural Networks
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
cs.CLcs.AIcs.NEarXiv:1705.06273v12017
On the Binding Problem in Artificial Neural Networks
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.NEcs.AIcs.LGarXiv:2012.05208v12020
Simple Recurrent Units for Highly Parallelizable Recurrence
Tao Lei, Yu Zhang, Sida I. Wang +2
cs.CLcs.NEarXiv:1709.02755v52017
An Easy-to-use Real-world Multi-objective Optimization Problem Suite
Ryoji Tanabe, Hisao Ishibuchi
cs.NEarXiv:2009.12867v12020
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
Shuochao Yao, Yiran Zhao, Aston Zhang +2
cs.LGcs.NEcs.NIarXiv:1706.01215v32017
Review of Swarm Intelligence-based Feature Selection Methods
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
cs.LGcs.NEstat.MLarXiv:2008.04103v12020
A Survey on Large Language Models with some Insights on their Capabilities and Limitations
Andrea Matarazzo, Riccardo Torlone
cs.CLcs.AIcs.LGarXiv:2501.04040v22025
Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning
Pablo Torrijos, José A. Gámez, José M. Puerta +1
cs.NEcs.LGarXiv:2609.03724v12026
Adversarial Machine Learning in Network Intrusion Detection Systems
Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian
cs.CRcs.LGcs.NEarXiv:2004.11898v12020
Latent Predictor Networks for Code Generation
Wang Ling, Edward Grefenstette, Karl Moritz Hermann +4
cs.CLcs.NEarXiv:1603.06744v22016
Neural Programmer-Interpreters
Scott Reed, Nando de Freitas
cs.LGcs.NEarXiv:1511.06279v42015
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Jonathan Frankle, David J. Schwab, Ari S. Morcos
cs.LGcs.AIcs.NEarXiv:2003.00152v32020
pymoo: Multi-objective Optimization in Python
Julian Blank, Kalyanmoy Deb
cs.NEcs.LGcs.MSarXiv:2002.04504v12020
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team, Jakob Bauer, Kate Baumli +25
cs.LGcs.AIcs.NEarXiv:2301.07608v12023
Addressing the Rare Word Problem in Neural Machine Translation
Minh-Thang Luong, Ilya Sutskever, Quoc V. Le +2
cs.CLcs.LGcs.NEarXiv:1410.8206v42014
Lookahead Optimizer: k steps forward, 1 step back
Michael R. Zhang, James Lucas, Geoffrey Hinton +1
cs.LGcs.NEstat.MLarXiv:1907.08610v22019
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Pulkit Agrawal, Ross Girshick, Jitendra Malik
cs.CVcs.NEarXiv:1407.1610v22014
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber +1
cs.LGcs.CVcs.NEarXiv:1905.12506v32019
Surrogate Gradient Learning in Spiking Neural Networks
Emre O. Neftci, Hesham Mostafa, Friedemann Zenke
cs.NEq-bio.NCarXiv:1901.09948v22019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia +3
cs.LGcs.AIcs.NEarXiv:1901.02358v12019
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen, Siva Reddy, Sarath Chandar
cs.CLcs.LGcs.NEarXiv:2108.04840v52021
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
Deniz Mengu, Yi Luo, Yair Rivenson +1
cs.NEcs.LGphysics.opticsarXiv:1810.01916v42018
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler
cs.LGcs.NEcs.PLarXiv:1806.07336v32018
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Wei Fang, Yanqi Chen, Jianhao Ding +7
cs.NEcs.LGcs.SEarXiv:2310.16620v12023
Biologically Inspired Spiking Neurons : Piecewise Linear Models and Digital Implementation
Hamid Soleimani, Arash Ahmadi, Mohammad Bavandpour
cs.LGcs.NEq-bio.NCarXiv:1212.3765v12012
Correlational Neural Networks
Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle +1
cs.CLcs.LGcs.NEarXiv:1504.07225v32015
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Xin Qiu, Yulu Gan, Conor F. Hayes +6
cs.LGcs.AIcs.NEarXiv:2509.24372v32025
GeoTrussRover: Morphological Computation with Contact-Semantic Control Primitives
Muyuan Ma, Yi Zhang, Yang Yang +12
cs.ROcs.GRcs.NEarXiv:2609.11361v12026

Neural and Evolutionary Computing

End-To-End Memory Networks

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models

A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting

Improved Techniques for Training GANs

Continuous online sequence learning with an unsupervised neural network model

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Language models suffer from a curse of ambiguity

NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Training Generative Adversarial Networks with Limited Data

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders

Expressivity of Spiking Neural Networks

Deep Activity Recognition Models with Triaxial Accelerometers

Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks

BLADE: ReliaBle Dynamic Hardware-Aware SNN-ANN Boundary SeLection for Event-BAseD Object DEtection

Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery

Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics

Big Brains and Changing Environments: Cause or Consequence?

HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses

Data-Free Network Quantization With Adversarial Knowledge Distillation

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

Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior

LLMDE: A Large Language Model-Driven Differential Evolution Algorithm for Portfolio Optimization

MAAPO:an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation

Design of optical neural networks with component imprecisions

Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks

Symbolic Discovery of Optimization Algorithms

Transfer Learning for Named-Entity Recognition with Neural Networks

On the Binding Problem in Artificial Neural Networks

Simple Recurrent Units for Highly Parallelizable Recurrence

An Easy-to-use Real-world Multi-objective Optimization Problem Suite

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

Review of Swarm Intelligence-based Feature Selection Methods

A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning

Adversarial Machine Learning in Network Intrusion Detection Systems

Latent Predictor Networks for Code Generation

Neural Programmer-Interpreters

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

pymoo: Multi-objective Optimization in Python

Human-Timescale Adaptation in an Open-Ended Task Space

Addressing the Rare Word Problem in Neural Machine Translation

Lookahead Optimizer: k steps forward, 1 step back

Analyzing the Performance of Multilayer Neural Networks for Object Recognition

Are Disentangled Representations Helpful for Abstract Visual Reasoning?

Surrogate Gradient Learning in Spiking Neural Networks

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

Post-hoc Interpretability for Neural NLP: A Survey

Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks

Neural Code Comprehension: A Learnable Representation of Code Semantics

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

Biologically Inspired Spiking Neurons : Piecewise Linear Models and Digital Implementation

Correlational Neural Networks

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

GeoTrussRover: Morphological Computation with Contact-Semantic Control Primitives