Image de couverture de livre

Formal description of ML models for unambiguous implementation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gauffriau, Adrien, Silva, Iryna De Albuquerque, Pagetti, Claire
Format:	Preprint
Publié:	2023
Sujets:	Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improving population size adapting CMA-ES algorithm on step-size blow-up in weakly-structured multimodal functions
par: Fernando, Chandula, et autres
Publié: (2025)

VerifIoU -- Robustness of Object Detection to Perturbations
par: Cohen, Noémie, et autres
Publié: (2024)

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware
par: Spilger, Philipp, et autres
Publié: (2024)

Unlearning Works Better Than You Think: Local Reinforcement-Based Selection of Auxiliary Objectives
par: Bendahi, Abderrahim, et autres
Publié: (2025)

Guided Evolution with Binary Discriminators for ML Program Search
par: Co-Reyes, John D., et autres
Publié: (2024)

Modelling of automotive steel fatigue lifetime by machine learning method
par: Yasniy, Oleh, et autres
Publié: (2025)

Continuous signal sparse encoding using analog neuromorphic variability
par: Costa, Filippo, et autres
Publié: (2025)

Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm
par: Casanueva-Morato, Daniel, et autres
Publié: (2025)

Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection
par: Renau, Quentin, et autres
Publié: (2024)

Energy-Efficient Implementation of Spiking Recurrent Cells on FPGA
par: Harmeling, Pascal, et autres
Publié: (2026)

Flying in air ducts
par: Martin, Thomas, et autres
Publié: (2024)

Evolving Financial Trading Strategies with Vectorial Genetic Programming
par: Menoita, Rui, et autres
Publié: (2025)

Physics-informed neural network for modeling dynamic linear elasticity
par: Kag, Vijay, et autres
Publié: (2023)

Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor
par: Khacef, Lyes, et autres
Publié: (2025)

Accelerating evolutionary exploration through language model-based transfer learning
par: Reissmann, Maximilian, et autres
Publié: (2024)

Deep memetic models for combinatorial optimization problems: application to the tool switching problem
par: Amaya, Jhon Edgar, et autres
Publié: (2024)

Assessing an evolutionary search engine for small language models, prompts, and evaluation metrics
par: Lopes, Cláudio Lúcio do Val, et autres
Publié: (2025)

Sequential sampling without comparison to boundary through model-free reinforcement learning
par: Esmaily, Jamal, et autres
Publié: (2024)

Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
par: Somathilaka, Samitha, et autres
Publié: (2024)

The hop-like problem nature -- unveiling and modelling new features of real-world problems
par: Przewozniczek, Michal W., et autres
Publié: (2024)

The working principles of model-based GAs fall within the PAC framework: A mathematical theory of problem decomposition
par: Yu, Tian-Li, et autres
Publié: (2025)

Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem
par: Huang, Jin, et autres
Publié: (2024)

TDE-3: An improved prior for optical flow computation in spiking neural networks
par: Yedutenko, Matthew, et autres
Publié: (2024)

Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware
par: Chen, Zhenhui, et autres
Publié: (2025)

An Asynchronous Multi-core Accelerator for SNN inference
par: Chen, Zhuo, et autres
Publié: (2024)

Discovering new robust local search algorithms with neuro-evolution
par: Sakhri, Mohamed Salim Amri, et autres
Publié: (2025)

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
par: Neshat, Mehdi, et autres
Publié: (2025)

DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
par: Ghanathe, Nikhil P, et autres
Publié: (2024)

SubStrat: A Subset-Based Strategy for Faster AutoML
par: Lazebnik, Teddy, et autres
Publié: (2022)

Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires
par: Mahajan, Pranav, et autres
Publié: (2025)

SerpentFlow: Generative Unpaired Domain Alignment via Shared-Structure Decomposition
par: Keisler, Julie, et autres
Publié: (2026)

Multi-objective evolutionary GAN for tabular data synthesis
par: Ran, Nian, et autres
Publié: (2024)

NNGPT: Rethinking AutoML with Large Language Models
par: Kochnev, Roman, et autres
Publié: (2025)

Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels
par: He, Jun, et autres
Publié: (2023)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
par: Shen, Guobin, et autres
Publié: (2023)

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality
par: Hou, Yaqing, et autres
Publié: (2023)

Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving
par: Boldi, Ryan, et autres
Publié: (2023)

On Cooperative Coevolution and Global Crossover
par: Bull, Larry, et autres
Publié: (2023)

Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems
par: Sobhanan, Abhay, et autres
Publié: (2023)

Untangling the Effects of Down-Sampling and Selection in Genetic Programming
par: Boldi, Ryan, et autres
Publié: (2023)