Neural and Evolutionary Computing

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1 to 60 of 1,703

Principled Training of Neural Networks with Direct Feedback Alignment
Julien Launay, Iacopo Poli, Florent Krzakala
stat.MLcs.LGcs.NEarXiv:1906.04554v12019
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
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades +1
cs.NEcs.LGmath.OCarXiv:2012.04322v22020
Conditioned Direct Feedback Alignment via Activity and Error Geometry
Houman Safaai, Varun Reddy, Bernardo L. Sabatini
cs.LGcs.NEq-bio.NCarXiv:2607.18574v22026
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
Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)
Dongrui Wu, Ye Yuan, Yihua Tan
cs.LGcs.AIcs.NEarXiv:1903.10951v42019
Evolutionary Ensemble Search: Council-Guided Program Evolution with Persistent Memory
Juan P. Madrigal-Cianci, Eshan Chordia
cs.NEcs.AIarXiv:2609.17590v12026
Evolve on the Host, Predict on the Edge: Deploying Online Neuroevolutionary Architecture Search for Cross-sectional Stock Return Prediction
Jonathan Chang, Zimeng Lyu
cs.CEcs.LGcs.NEarXiv:2610.10038v12026
Signed Sensitivity of Expected Hitting Time to Mutation Rate in the (1+1) EA: Per-State Sign Theorems and Verifiable Certificates for Non-Lumpable Families
RenKai Wang
cs.NEarXiv:2609.12510v12026
Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity
Ran Rubin, L. F. Abbott, Haim Sompolinsky
q-bio.NCcond-mat.dis-nncs.LGarXiv:1705.01502v12017
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
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks
Nima Mohajerin, Steven L. Waslander
cs.NEcs.ROarXiv:1806.00526v12018
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
Deep-FSMN for Large Vocabulary Continuous Speech Recognition
Shiliang Zhang, Ming Lei, Zhijie Yan +1
cs.NEcs.CLarXiv:1803.05030v12018
Visual Sentiment Prediction with Deep Convolutional Neural Networks
Can Xu, Suleyman Cetintas, Kuang-Chih Lee +1
cs.CVcs.NEstat.MLarXiv:1411.5731v12014
Deep supervised learning using local errors
Hesham Mostafa, Vishwajith Ramesh, Gert Cauwenberghs
cs.NEcs.LGstat.MLarXiv:1711.06756v12017
Bayesian Attention Modules
Xinjie Fan, Shujian Zhang, Bo Chen +1
stat.MLcs.LGcs.NEarXiv:2010.10604v12020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Haowen Fang, Amar Shrestha, Ziyi Zhao +1
cs.NEcs.LGstat.MLarXiv:2003.02944v22020
Pad\'e Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
Alejandro Molina, Patrick Schramowski, Kristian Kersting
cs.LGcs.NEarXiv:1907.06732v32019
Approximate Bayesian inference as a gauge theory
Biswa Sengupta, Karl Friston
q-bio.NCcs.NEarXiv:1705.06614v22017
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
Andy Brown, Aaron Tuor, Brian Hutchinson +1
cs.LGcs.NEstat.MLarXiv:1803.04967v12018
Recent Advances in Bayesian Optimization
Xilu Wang, Yaochu Jin, Sebastian Schmitt +1
cs.LGcs.DCcs.NEarXiv:2206.03301v22022
The evolutionary origins of hierarchy
Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret +1
cs.NEarXiv:1505.06353v12015
Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation
Jyotiranjan Beuria, Venkatesh H. Chembrolu
cs.ETcs.AIcs.LGarXiv:2609.13315v12026
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
Xiao Wang, Shiao Wang, Chuanming Tang +4
cs.CVcs.NEarXiv:2309.14611v12023
High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS
Shihui Yin, Xiaoyu Sun, Shimeng Yu +1
cs.ETcs.NEarXiv:1909.07514v12019
T-GADE: Thermodynamical Generative-AI-Driven Evolution of LLM Artifacts
Kyoko Ogawa, Naoki Mori
cs.AIcs.NEarXiv:2609.12286v12026
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Guangzhi Tang, Neelesh Kumar, Raymond Yoo +1
cs.NEcs.LGcs.ROarXiv:2010.09635v12020
Learning to Orchestrate Evolutionary Search: Progression-Aware Deep Reinforcement Learning for Dynamic DE-CMA-ES Coordination in Optimization and Structural Model Updating
Lechen Li, Rongye Shi, Wanhuan Zhou
cs.NEcs.AIarXiv:2610.11546v12026
Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz, Niru Maheswaranathan, Brian Cheung +1
cs.LGcs.NEstat.MLarXiv:1804.00222v32018
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.LGcs.AIcs.NEarXiv:1910.04098v22019
Level Generation Through Large Language Models
Graham Todd, Sam Earle, Muhammad Umair Nasir +2
cs.AIcs.CLcs.NEarXiv:2302.05817v22023
Texture Synthesis Using Convolutional Neural Networks
Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
cs.CVcs.NEq-bio.NCarXiv:1505.07376v32015
A review of learning vector quantization classifiers
David Nova, Pablo A. Estevez
cs.LGastro-ph.IMcs.NEarXiv:1509.07093v12015
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
Yoav Levine, David Yakira, Nadav Cohen +1
cs.LGcs.NEquant-pharXiv:1704.01552v22017
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch, Siddhartha Mishra
cs.LGcs.NEstat.MLarXiv:2010.00951v22020
A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization
Ming Chen, Rong-Xi Tan, Ke Xue +8
cs.LGcs.AIcs.NEarXiv:2610.12183v12026
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team, Jakob Bauer, Kate Baumli +25
cs.LGcs.AIcs.NEarXiv:2301.07608v12023
Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase
Yanhai Zhang, Jie Zhang, Chi Xu
cs.LGcs.NEstat.MLarXiv:2609.31630v22026
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
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Nan Li, Lianbo Ma, Guo Yu +3
cs.NEarXiv:2208.10658v12022
Fractional-order hardware for neuromorphic computing: Is the order really the problem?
Christof Teuscher
cs.ETcs.NEarXiv:2609.10882v12026
Evaluating the Transfer of Co-Evolved Communication from 2D to 3D Simulation
Fernando Montes-Gonzalez
cs.ROcs.NEarXiv:2610.09280v12026
A Bio-Plausible Visual Neural Network for Locust-Inspired Collision Perception
Qinbing Fu, Jiani Li, Jiajun Huang +1
cs.NEq-bio.NCarXiv:2609.10183v12026
Cat Swarm Optimization Algorithm -- A Survey and Performance Evaluation
Aram M. Ahmed, Tarik A. Rashid, Soran Ab. M. Saeed
cs.NEarXiv:2001.11822v12020
Network Plasticity as Bayesian Inference
David Kappel, Stefan Habenschuss, Robert Legenstein +1
cs.NEq-bio.NCarXiv:1504.05143v12015
Minimum Energy Quantized Neural Networks
Bert Moons, Koen Goetschalckx, Nick Van Berckelaer +1
cs.NEcs.ARcs.LGarXiv:1711.00215v22017
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization
Zuyan Chen, Adam Francis, Shuai Li +2
cs.NEarXiv:2207.14667v12022
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Yangfan Hu, Qian Zheng, Xudong Jiang +1
cs.NEarXiv:2305.19868v12023
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia, Sina Lin, Charles R. Qi +1
cs.LGcs.DCcs.NEarXiv:1802.04924v22018
ECG Heartbeat Classification Using Multimodal Fusion
Zeeshan Ahmad, Anika Tabassum, Ling Guan +1
cs.LGcs.NEeess.SParXiv:2107.09869v12021
Relocating Nonlinearity: How a Downstream Learner Reshapes What Genetic Programming Must Evolve
Nam H. Le
cs.NEcs.LOarXiv:2610.09347v12026
The Modular CMA-ES: A Framework for Modern Evolution Strategies
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova +2
cs.NEarXiv:2610.09699v12026
Elastic Graph Neural Networks
Xiaorui Liu, Wei Jin, Yao Ma +5
cs.LGcs.AIcs.NEarXiv:2107.06996v12021
Author Identification using Multi-headed Recurrent Neural Networks
Douglas Bagnall
cs.CLcs.LGcs.NEarXiv:1506.04891v22015
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha +1
cs.CLcs.AIcs.LGarXiv:1805.12352v22018
Learning Guided Automated Reasoning: A Brief Survey
Lasse Blaauwbroek, David Cerna, Thibault Gauthier +4
cs.AIcs.LGcs.LOarXiv:2403.04017v12024

Neural and Evolutionary Computing

Principled Training of Neural Networks with Direct Feedback Alignment

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

Quality-Diversity Optimization: a novel branch of stochastic optimization

Conditioned Direct Feedback Alignment via Activity and Error Geometry

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

Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)

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

Evolve on the Host, Predict on the Edge: Deploying Online Neuroevolutionary Architecture Search for Cross-sectional Stock Return Prediction

Signed Sensitivity of Expected Hitting Time to Mutation Rate in the (1+1) EA: Per-State Sign Theorems and Verifiable Certificates for Non-Lumpable Families

Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity

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

Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks

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

Deep-FSMN for Large Vocabulary Continuous Speech Recognition

Visual Sentiment Prediction with Deep Convolutional Neural Networks

Deep supervised learning using local errors

Bayesian Attention Modules

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

Pad\'e Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

Approximate Bayesian inference as a gauge theory

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Recent Advances in Bayesian Optimization

The evolutionary origins of hierarchy

Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline

High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS

T-GADE: Thermodynamical Generative-AI-Driven Evolution of LLM Artifacts

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Learning to Orchestrate Evolutionary Search: Progression-Aware Deep Reinforcement Learning for Dynamic DE-CMA-ES Coordination in Optimization and Structural Model Updating

Meta-Learning Update Rules for Unsupervised Representation Learning

Improving Generalization in Meta Reinforcement Learning using Learned Objectives

Level Generation Through Large Language Models

Texture Synthesis Using Convolutional Neural Networks

A review of learning vector quantization classifiers

Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design

Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies

A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization

Human-Timescale Adaptation in an Open-Ended Task Space

Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase

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

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues

Fractional-order hardware for neuromorphic computing: Is the order really the problem?

Evaluating the Transfer of Co-Evolved Communication from 2D to 3D Simulation

A Bio-Plausible Visual Neural Network for Locust-Inspired Collision Perception

Cat Swarm Optimization Algorithm -- A Survey and Performance Evaluation

Network Plasticity as Bayesian Inference

Minimum Energy Quantized Neural Networks

Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization

Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN

Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks

ECG Heartbeat Classification Using Multimodal Fusion

Relocating Nonlinearity: How a Downstream Learner Reshapes What Genetic Programming Must Evolve

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

Elastic Graph Neural Networks

Author Identification using Multi-headed Recurrent Neural Networks

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Learning Guided Automated Reasoning: A Brief Survey