Neural and Evolutionary Computing

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1,441 to 1,500 of 1,842

Common-Mode Collapse and Recovery in Direct Feedback Alignment
Varun Reddy, Bernardo L. Sabatini, Houman Safaai
cs.LGcs.NEarXiv:2609.31589v12026
The Modular CMA-ES: A Framework for Modern Evolution Strategies
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova +2
cs.NEarXiv:2610.09699v12026
A Characteristic Function Approach to Deep Implicit Generative Modeling
Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
cs.LGcs.NEstat.MLarXiv:1909.07425v22019
Neural Logic, Invariance, and the Retina---McCulloch and Pitts
Nima Dehghani
q-bio.NCcond-mat.dis-nncs.FLarXiv:2609.02183v12026
Elastic Graph Neural Networks
Xiaorui Liu, Wei Jin, Yao Ma +5
cs.LGcs.AIcs.NEarXiv:2107.06996v12021
GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms
Valentin Khrulkov, Andrey Galichin, Denis Bashkirov +5
cs.NEcs.AIcs.LGarXiv:2511.17592v12025
A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy
E. Osaba, Xin-She Yang, F. Diaz +3
cs.NEcs.AImath.OCarXiv:1604.04146v12016
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
cs.CVcs.LGcs.NEarXiv:1704.02685v22017
optimize_anything: A Universal API for Optimizing any Text Parameter
Lakshya A Agrawal, Donghyun Lee, Shangyin Tan +11
cs.CLcs.AIcs.LGarXiv:2605.19633v12026
Cellular automata as convolutional neural networks
William Gilpin
nlin.CGcond-mat.dis-nncs.NEarXiv:1809.02942v22018
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems
Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo +3
cs.CRcs.AIcs.CLarXiv:2304.14746v12023
Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks
Arjun, Aniket Singh Rajpoot, Mahesh Raveendranatha Panicker
cs.NEeess.SParXiv:2106.03461v32021
Adversarial Perturbations Fool Deepfake Detectors
Apurva Gandhi, Shomik Jain
cs.CVcs.LGcs.NEarXiv:2003.10596v22020
Improving Neural Question Generation using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin +1
cs.CLcs.AIcs.NEarXiv:1809.02393v22018
Robustly representing uncertainty in deep neural networks through sampling
Patrick McClure, Nikolaus Kriegeskorte
cs.LGcs.CVcs.NEarXiv:1611.01639v72016
Unity: A General Platform for Intelligent Agents
Arthur Juliani, Vincent-Pierre Berges, Ervin Teng +8
cs.LGcs.AIcs.NEarXiv:1809.02627v22018
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
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang, Kaijie Chen, Guancheng Wan +5
cs.LGcs.CLcs.MAarXiv:2502.07373v12025
Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Hagen Soltau, Hank Liao, Hasim Sak
cs.CLcs.LGcs.NEarXiv:1610.09975v12016
Neural Symbollic Regression Using Deep Learning and Sparse Modelling
Ravi Kumar U, Sumitra S
cs.LGcs.NEcs.SCarXiv:2609.01102v12026
Beyond Edge Cuts: Activity-Weighted Multicast Hypergraph Mapping for Spiking Neural Networks on Mesh NoCs
Amirreza Khorasanian
cs.ARcs.NEarXiv:2608.26223v12026
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
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
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
cs.LGcs.NEarXiv:2109.14545v32021
Learning to Multi-Task by Active Sampling
Sahil Sharma, Ashutosh Jha, Parikshit Hegde +1
cs.NEcs.LGarXiv:1702.06053v42017
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris, Nils M. Kriege, Franka Bause +3
cs.LGcs.NEstat.MLarXiv:2007.08663v12020
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Wenrui Zhang, Peng Li
cs.NEcs.LGarXiv:1908.06378v32019
A Survey on Neural Architecture Search
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati
cs.LGcs.CVcs.NEarXiv:1905.01392v22019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein +2
cs.NEcs.CVcs.LGarXiv:1904.03137v42019
Spatially-sparse convolutional neural networks
Benjamin Graham
cs.CVcs.NEarXiv:1409.6070v12014
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull +2
cs.LGcs.NEarXiv:1611.01967v22016
Online Representation Learning in Recurrent Neural Language Models
Marek Rei
cs.CLcs.LGcs.NEarXiv:1508.03854v12015
Can Neural Networks Understand Logical Entailment?
Richard Evans, David Saxton, David Amos +2
cs.NEcs.AIarXiv:1802.08535v12018
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui +1
cs.LGcs.NEstat.MLarXiv:1812.02637v42018
Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system
Indranil Pan, Saptarshi Das
eess.SYcs.NEarXiv:1205.1765v22012
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad, Sharan Sankar, Joseph Barfett +2
cs.NEarXiv:1801.01078v32017
Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning
Syon Mansur, Joel Zylberberg
cs.LGcs.AIcs.CVarXiv:2610.00753v12026
Unconstrained Monotonic Neural Networks
Antoine Wehenkel, Gilles Louppe
cs.LGcs.NEstat.MLarXiv:1908.05164v32019
The power of deeper networks for expressing natural functions
David Rolnick, Max Tegmark
cs.LGcs.NEstat.MLarXiv:1705.05502v22017
From Hand-Crafted to LLM-Based Variation Operators in Metaheuristics: A Tutorial
Camilo Chacón Sartori, Guillem Rodríguez-Corominas, Christian Blum
cs.NEcs.AIcs.CLarXiv:2609.31649v12026
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz +1
cs.CVcs.NEarXiv:1608.06037v82016
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
cs.AIcs.CRcs.NEarXiv:1003.0789v12010
Recurrent Neural Networks Hardware Implementation on FPGA
Andre Xian Ming Chang, Berin Martini, Eugenio Culurciello
cs.NEarXiv:1511.05552v42015
The value of information and the emergence of communication in evolved e-puck robots
Fernando Montes-Gonzalez
cs.ROcs.MAcs.NEarXiv:2610.13118v12026
Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs
Suresh Kumar TP, Vikas Agnihotri
cs.NEcs.LGarXiv:2610.12471v12026
A Flexible and Generic Approach for Explainable Landscape Analysis and the pyXla Toolbox
Tony Ombaso, Anna S. Bosman, Arnaud Liefooghe +2
cs.NEcs.MSarXiv:2610.06359v12026
Evolutionary Ensemble Search: Council-Guided Program Evolution with Persistent Memory
Juan P. Madrigal-Cianci, Eshan Chordia
cs.NEcs.AIarXiv:2609.17590v12026
On the approximation by single hidden layer feedforward neural networks with fixed weights
Namig J. Guliyev, Vugar E. Ismailov
cs.NEcs.ITcs.NAarXiv:1708.06219v12017
Brain-inspired global-local learning incorporated with neuromorphic computing
Yujie Wu, Rong Zhao, Jun Zhu +11
cs.NEcs.AIq-bio.NCarXiv:2006.03226v32020
Building Better Nurse Scheduling Algorithms
Uwe Aickelin, Paul White
cs.NEcs.CEarXiv:0803.2967v12008
Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks
Soheil Hashemi, Nicholas Anthony, Hokchhay Tann +2
cs.NEarXiv:1612.03940v12016
Visual Sentiment Prediction with Deep Convolutional Neural Networks
Can Xu, Suleyman Cetintas, Kuang-Chih Lee +1
cs.CVcs.NEstat.MLarXiv:1411.5731v12014
Approximate Bayesian inference as a gauge theory
Biswa Sengupta, Karl Friston
q-bio.NCcs.NEarXiv:1705.06614v22017
Level Generation Through Large Language Models
Graham Todd, Sam Earle, Muhammad Umair Nasir +2
cs.AIcs.CLcs.NEarXiv:2302.05817v22023
Optimizing Train Driving to Minimize the Electricity Cost of an Entire Railway Traffic Mesh using Evolutionary Algorithms
Eduardo Pilo de la Fuente, Sudip K. Mazumder, Maria Antonia Simon
cs.NEphysics.app-pharXiv:2609.05493v12026
Minimum Energy Quantized Neural Networks
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer +1
cs.NEcs.ARcs.LGarXiv:1711.00215v22017
Author Identification using Multi-headed Recurrent Neural Networks
Douglas Bagnall
cs.CLcs.LGcs.NEarXiv:1506.04891v22015
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG
Mohammadali Sharifshazileh, Karla Burelo, Johannes Sarnthein +1
eess.SPcs.AIcs.NEarXiv:2009.11245v22020
Move Evaluation in Go Using Deep Convolutional Neural Networks
Chris J. Maddison, Aja Huang, Ilya Sutskever +1
cs.LGcs.NEarXiv:1412.6564v22014
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training
Liang Luo, Jacob Nelson, Luis Ceze +2
cs.DCcs.LGcs.NEarXiv:1805.07891v22018

Neural and Evolutionary Computing

Common-Mode Collapse and Recovery in Direct Feedback Alignment

The Modular CMA-ES: A Framework for Modern Evolution Strategies

A Characteristic Function Approach to Deep Implicit Generative Modeling

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

Elastic Graph Neural Networks

GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms

A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy

Learning Important Features Through Propagating Activation Differences

optimize_anything: A Universal API for Optimizing any Text Parameter

Cellular automata as convolutional neural networks

FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems

Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks

Adversarial Perturbations Fool Deepfake Detectors

Improving Neural Question Generation using Answer Separation

Robustly representing uncertainty in deep neural networks through sampling

Unity: A General Platform for Intelligent Agents

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

EvoFlow: Evolving Diverse Agentic Workflows On The Fly

Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Neural Symbollic Regression Using Deep Learning and Sparse Modelling

Beyond Edge Cuts: Activity-Weighted Multicast Hypergraph Mapping for Spiking Neural Networks on Mesh NoCs

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

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

Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark

Learning to Multi-Task by Active Sampling

TUDataset: A collection of benchmark datasets for learning with graphs

Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks

A Survey on Neural Architecture Search

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

Spatially-sparse convolutional neural networks

Regularizing CNNs with Locally Constrained Decorrelations

Online Representation Learning in Recurrent Neural Language Models

Can Neural Networks Understand Logical Entailment?

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

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

Recent Advances in Recurrent Neural Networks

Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning

Unconstrained Monotonic Neural Networks

The power of deeper networks for expressing natural functions

From Hand-Crafted to LLM-Based Variation Operators in Metaheuristics: A Tutorial

Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm

Recurrent Neural Networks Hardware Implementation on FPGA

The value of information and the emergence of communication in evolved e-puck robots

Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs

A Flexible and Generic Approach for Explainable Landscape Analysis and the pyXla Toolbox

Evolutionary Ensemble Search: Council-Guided Program Evolution with Persistent Memory

On the approximation by single hidden layer feedforward neural networks with fixed weights

Brain-inspired global-local learning incorporated with neuromorphic computing

Building Better Nurse Scheduling Algorithms

Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks

Visual Sentiment Prediction with Deep Convolutional Neural Networks

Approximate Bayesian inference as a gauge theory

Level Generation Through Large Language Models

Optimizing Train Driving to Minimize the Electricity Cost of an Entire Railway Traffic Mesh using Evolutionary Algorithms

Minimum Energy Quantized Neural Networks

Author Identification using Multi-headed Recurrent Neural Networks

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

Move Evaluation in Go Using Deep Convolutional Neural Networks

Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training