Cover Image

Towards Scalable Lottery Ticket Networks using Genetic Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schönberger, Julian, Zorn, Maximilian, Nüßlein, Jonas, Gabor, Thomas, Altmann, Philipp
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Finding Strong Lottery Ticket Networks with Genetic Algorithms
by: Altmann, Philipp, et al.
Published: (2024)

A Survey of Lottery Ticket Hypothesis
by: Liu, Bohan, et al.
Published: (2024)

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
by: Altmann, Philipp, et al.
Published: (2024)

Winning the Lottery by Preserving Network Training Dynamics with Concrete Ticket Search
by: Arora, Tanay, et al.
Published: (2025)

FedGA-Tree: Federated Decision Tree using Genetic Algorithm
by: Nguyen, Anh V, et al.
Published: (2025)

Scalable Forward-Forward Algorithm
by: Krutsylo, Andrii
Published: (2025)

NK Hybrid Genetic Algorithm for Clustering
by: Tinós, Renato, et al.
Published: (2024)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
by: Cheng, Hao, et al.
Published: (2023)

ReLiCADA -- Reservoir Computing using Linear Cellular Automata Design Algorithm
by: Kantic, Jonas, et al.
Published: (2023)

Cost Optimization in Production Line Using Genetic Algorithm
by: Rezaee, Alireza
Published: (2026)

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
by: Gu, Shengda, et al.
Published: (2025)

Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms
by: Greenberg, Ido, et al.
Published: (2025)

Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems
by: Anthes, Philipp, et al.
Published: (2025)

Optimizing Feature Selection with Genetic Algorithms: A Review of Methods and Applications
by: Taha, Zhila Yaseen, et al.
Published: (2024)

Sharpness Aware Surrogate Training for Spiking Neural Networks
by: Nicholson, Maximilian
Published: (2026)

Genetic Algorithm with Innovative Chromosome Patterns in the Breeding Process
by: Lyu, Qingchuan
Published: (2025)

Transforming Datasets to Requested Complexity with Projection-based Many-Objective Genetic Algorithm
by: Komorniczak, Joanna
Published: (2025)

Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing
by: Xu, Jinxin, et al.
Published: (2024)

A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm
by: Ke, Zong, et al.
Published: (2024)

CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming
by: Kalkreuth, Roman, et al.
Published: (2024)

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
by: Baronig, Maximilian, et al.
Published: (2025)

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
by: Kalkreuth, Roman, et al.
Published: (2025)

Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
by: Long, Fu Xing, et al.
Published: (2024)

Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms
by: Miccini, Riccardo, et al.
Published: (2024)

The Evolution of Learning Algorithms for Artificial Neural Networks
by: Baxter, Jonathan
Published: (2025)

Discovering Continuous-Time Memory-Based Symbolic Policies using Genetic Programming
by: de Vries, Sigur, et al.
Published: (2024)

Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
by: Cornei, Laura-Maria, et al.
Published: (2026)

Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks
by: Pes, Lorenzo, et al.
Published: (2025)

Optimizing Modular Robot Composition: A Lexicographic Genetic Algorithm Approach
by: Külz, Jonathan, et al.
Published: (2023)

A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
by: Holliday, Andrew, et al.
Published: (2024)

Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization
by: Nandy, Prasun, et al.
Published: (2025)

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
by: Li, Wenhu, et al.
Published: (2025)

MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
by: Yun, Daniel
Published: (2024)

Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
by: Ma, Zeyuan, et al.
Published: (2024)

On the Universal Representation Property of Spiking Neural Networks
by: Hundrieser, Shayan, et al.
Published: (2025)

A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
by: Long, Quan, et al.
Published: (2025)

Neural Genetic Search in Discrete Spaces
by: Kim, Hyeonah, et al.
Published: (2025)

Sharpness-Aware Minimization in Genetic Programming
by: Bakurov, Illya, et al.
Published: (2024)

Genetic Programming for Explainable Manifold Learning
by: Cravens, Ben, et al.
Published: (2024)

On the Generalization Bounds of Symbolic Regression with Genetic Programming
by: Nomura, Masahiro, et al.
Published: (2026)