Dennis Wilson

CoRR, 2024

Naturally Interpretable Control Policies via Graph-Based Genetic Programming.

[BibT_eX]

[DOI]

Giorgia Nadizar

Eric Medvet

Paul-Antoine Le Tolguenec

Proceedings of the Genetic Programming - 27th European Conference, 2024

2023

Curiosity Creates Diversity in Policy Search.

[BibT_eX]

[DOI]

Yann Besse

ACM Trans. Evol. Learn. Optim., September, 2023

Satellite derived bathymetry using deep learning.

[BibT_eX]

[DOI]

Mach. Learn., April, 2023

Editorial for Special Issue: "How the Combination of Satellite Remote Sensing with Artificial Intelligence Can Solve Coastal Issues".

[BibT_eX]

[DOI]

Rafael Almar

Jean-Marc Delvit

Remote. Sens., 2023

Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis.

[BibT_eX]

[DOI]

François-Xavier Frenois

CoRR, 2023

Equivariance-aware Architectural Optimization of Neural Networks.

[BibT_eX]

[DOI]

Kaitlin Maile

Patrick Forré

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Structural Learning in Artificial Neural Networks: A Neural Operator Perspective.

[BibT_eX]

[DOI]

Kaitlin Maile

Hervé Luga

Trans. Mach. Learn. Res., 2022

Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation.

[BibT_eX]

[DOI]

Ilyass Hammouamri

Timothée Masquelier

Trans. Mach. Learn. Res., 2022

Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Architectural Optimization over Subgroups for Equivariant Neural Networks.

[BibT_eX]

[DOI]

Kaitlin Maile

Patrick Forré

CoRR, 2022

Neural Distillation as a State Representation Bottleneck in Reinforcement Learning.

[BibT_eX]

[DOI]

Valentin Guillet

Carlos Aguilar Melchor

CoRR, 2022

On Neural Consolidation for Transfer in Reinforcement Learning.

[BibT_eX]

[DOI]

Valentin Guillet

Carlos Aguilar Melchor

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Genetic improvement of shoreline evolution forecasting models.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

LUCIE: an evaluation and selection method for stochastic problems.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Coevolution of neural networks for agents and environments.

[BibT_eX]

[DOI]

Estelle Chigot

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Neural Distillation as a State Representation Bottleneck in Reinforcement Learning.

[BibT_eX]

[DOI]

Valentin Guillet

Proceedings of the Conference on Lifelong Learning Agents, 2022

When, where, and how to add new neurons to ANNs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

On Constrained Optimization in Differentiable Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Image Filters with Cartesian Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

A geometric encoding for neural network evolution.

[BibT_eX]

[DOI]

Paul Templier

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

2019

Evolving principes of artificial neural design. (Évolution des principes de la conception des réseaux de neurones artificiels).

[BibT_eX]

[DOI]

PhD thesis, 2019

2018

Neuromodulated Learning in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Positional Cartesian Genetic Programming.

[BibT_eX]

[DOI]

CoRR, 2018

Evolving Differentiable Gene Regulatory Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Workshops at PPSN 2018.

[BibT_eX]

[DOI]

Robin C. Purshouse

Christine Zarges

Michael G. Epitropakis

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems.

[BibT_eX]

[DOI]

Julian F. Miller

Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Summary of evolutionary computation for wind farm layout optimization.

[BibT_eX]

[DOI]

Guillermo López Buenfil

Sergio Iwan Valdez Pea

Brian Goldman

Salvador Botello Rionda

Arturo Hernández Aguirre

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Evolving simple programs for playing atari games.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

The ethics of automated behavioral microtargeting.

[BibT_eX]

[DOI]

AI Matters, 2017

A developmental artificial neural network model for solving multiple problems.

[BibT_eX]

[DOI]

Julian F. Miller

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A comparison of genetic regulatory network dynamics and encoding.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Learning aquatic locomotion with animats.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth European Conference Artificial Life, 2017

2016

The Evolution of Artificial Neurogenesis.

[BibT_eX]

[DOI]

Hervé Luga

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2014

A continuous developmental model for wind farm layout optimization.

[BibT_eX]

[DOI]

Una-May O'Reilly

Hervé Luga

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

On learning to generate wind farm layouts.

[BibT_eX]

[DOI]

Emmanuel Awa

Una-May O'Reilly

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems.

[BibT_eX]

[DOI]