Alexandre Mayer

According to our database, Alexandre Mayer authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Hyperparameter Control Using Fuzzy Logic: Evolving Policies for Adaptive Fuzzy Particle Swarm Optimization Algorithm.

Nicolas Roy, Charlotte Beauthier, Alexandre Mayer

Evol. Comput., 2025

2024

From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images.

Valentin Delchevalerie, Benoît Frénay, Alexandre Mayer

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Photonic Structures Optimization Using Highly Data-Efficient Deep Learning: Application To Nanofin And Annular Groove Phase Masks.

Nicolas Roy, Lorenzo König, Olivier Absil, Charlotte Beauthier, Alexandre Mayer, Michaël Lobet

CoRR, 2023

SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks.

Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay

CoRR, 2023

2022

Setup of a New Adaptive Fuzzy Particle Swarm Optimization Algorithm.

Nicolas Roy, Charlotte Beauthier, Alexandre Mayer

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Achieving Rotational Invariance with Bessel-Convolutional Neural Networks.

Valentin Delchevalerie, Adrien Bibal, Benoît Frénay, Alexandre Mayer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics.

Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay

Proceedings of the International Joint Conference on Neural Networks, 2021

Setup of fuzzy hybrid particle swarms: a heuristic approach.

Nicolas Roy, Charlotte Beauthier, Timotéo Carletti, Alexandre Mayer

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2017

A genetic algorithm with randomly shifted gray codes and local optimizations based on quadratic approximations of the fitness.

Alexandre Mayer

Proceedings of the Genetic and Evolutionary Computation Conference, 2017