Copertina

Learning Morphisms with Gauss-Newton Approximation for Growing Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lawton, Neal, Galstyan, Aram, Steeg, Greg Ver
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition Neural and Evolutionary Computing 68T07 I.2.8
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Efficient Vectorized Backpropagation Algorithms for Training Feedforward Networks Composed of Quadratic Neurons
di: Noel, Mathew Mithra, et al.
Pubblicazione: (2023)

Modeling Local Search Metaheuristics Using Markov Decision Processes
di: Ruiz-Torrubiano, Rubén
Pubblicazione: (2024)

Implementing Online Reinforcement Learning with Clustering Neural Networks
di: Smith, James E.
Pubblicazione: (2024)

The Traveling Thief Problem with Time Windows: Benchmarks and Heuristics
di: Angmalisang, Helen Yuliana, et al.
Pubblicazione: (2026)

Associative Constructive Evolution: Enhancing Metaheuristics through Hebbian-Learned Generative Guidance
di: Lin, Shanxian, et al.
Pubblicazione: (2026)

Adaptive Surrogate-Based Strategy for Accelerating Convergence Speed when Solving Expensive Unconstrained Multi-Objective Optimisation Problems
di: Banda, Tiwonge Msulira, et al.
Pubblicazione: (2026)

NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks
di: Gambella, Matteo, et al.
Pubblicazione: (2024)

JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
di: Ramírez, Aurora, et al.
Pubblicazione: (2024)

Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
di: Taubert, Oskar, et al.
Pubblicazione: (2023)

Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures
di: Huang, Ziyuan, et al.
Pubblicazione: (2025)

The Geometry of Cortical Computation: Manifold Disentanglement and Predictive Dynamics in VCNet
di: Hill, Brennen A., et al.
Pubblicazione: (2025)

Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
di: Gharoun, Hassan, et al.
Pubblicazione: (2025)

CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction
di: Bentley, Peter J., et al.
Pubblicazione: (2025)

Exploring the Intersection between Neural Architecture Search and Continual Learning
di: Shahawy, Mohamed, et al.
Pubblicazione: (2022)

A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization
di: Kim, Chul, et al.
Pubblicazione: (2025)

Comparative Analysis of Indicators for Multiobjective Diversity Optimization
di: Pereverdieva, Ksenia, et al.
Pubblicazione: (2024)

Trilevel Memetic Algorithm for the Electric Vehicle Routing Problem
di: Milinović, Ivan, et al.
Pubblicazione: (2025)

Structures vibration control via tuned mass dampers using a co-evolution coral reefs optimization algorithm
di: Salcedo-Sanz, S, et al.
Pubblicazione: (2024)

Evolving Code with A Large Language Model
di: Hemberg, Erik, et al.
Pubblicazione: (2024)

Mining Potentially Explanatory Patterns via Partial Solutions
di: Catalano, GianCarlo, et al.
Pubblicazione: (2024)

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
di: Guo, Dongxin, et al.
Pubblicazione: (2026)

Fractional Artificial Neural Networks for Growth Models
di: Najera-Tinoco, Juan Carlos, et al.
Pubblicazione: (2025)

Pointer Networks Trained Better via Evolutionary Algorithms
di: Zhong, Muyao, et al.
Pubblicazione: (2023)

A Significantly Better Class of Activation Functions Than ReLU Like Activation Functions
di: Noel, Mathew Mithra, et al.
Pubblicazione: (2024)

LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
di: Yoon, Kihyuk, et al.
Pubblicazione: (2023)

The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
di: Molina, Daniel, et al.
Pubblicazione: (2025)

Game-Theoretic Gradient Control for Robust Neural Network Training
di: Zaitseva, Maria, et al.
Pubblicazione: (2025)

A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot
di: Jalaeian-Farimani, Mohsen, et al.
Pubblicazione: (2026)

Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
di: Chakraborty, Debjyoti
Pubblicazione: (2026)

Technical Report on BaumEvA Evolutionary Optimization Python-Library Testing
di: Tynchenko, Vadim, et al.
Pubblicazione: (2024)

HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search
di: Gambella, Matteo, et al.
Pubblicazione: (2026)

Hybrid Genetic Algorithm for Optimal User Order Routing: Multi-Objective Solver Optimization in CoW Protocol Batch Auctions
di: Marfinetz, Mitchell
Pubblicazione: (2025)

Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis
di: Dang, Duc-Cuong, et al.
Pubblicazione: (2024)

AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
di: Arostegi, Maria, et al.
Pubblicazione: (2025)

Reconstructing shared dynamics with a deep neural network
di: Benkő, Zsigmond, et al.
Pubblicazione: (2021)

Rapid training of Hamiltonian graph networks using random features
di: Rahma, Atamert, et al.
Pubblicazione: (2025)

Optimizing Genetic Algorithms Using the Binomial Distribution
di: Cicirello, Vincent A.
Pubblicazione: (2024)

Explaining What Machines See: XAI Strategies in Deep Object Detection Models
di: Seyedmomeni, FatemehSadat, et al.
Pubblicazione: (2025)

Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper
di: Mohamadi, Helia, et al.
Pubblicazione: (2024)

A Novel Compression Framework for YOLOv8: Achieving Real-Time Aerial Object Detection on Edge Devices via Structured Pruning and Channel-Wise Distillation
di: Sabaghian, Melika, et al.
Pubblicazione: (2025)