Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems. - Dennis Wilson; Kalyan Veeramachaneni; Una-May O'Reilly (EvoApplications, 2013)

On learning to generate wind farm layouts. - Dennis Wilson; Emmanuel Awa; Sylvain Cussat-Blanc; Kalyan Veeramachaneni; Una-May O'Reilly (GECCO, 2013)

A continuous developmental model for wind farm layout optimization. - Dennis Wilson; Sylvain Cussat-Blanc; Kalyan Veeramachaneni; Una-May O'Reilly; Hervé Luga (GECCO, 2014)

The Evolution of Artificial Neurogenesis. - Dennis Wilson; Sylvain Cussat-Blanc; Hervé Luga (GECCO (Companion), 2016)

Learning aquatic locomotion with animats. - Dennis G. Wilson; Jean Disset; Sylvain Cussat-Blanc; Yves Duthen; Hervé Luga (ECAL, 2017)

A comparison of genetic regulatory network dynamics and encoding. - Jean Disset; Dennis G. Wilson; Sylvain Cussat-Blanc; Stéphane Sanchez; Hervé Luga; Yves Duthen (GECCO, 2017)

A developmental artificial neural network model for solving multiple problems. - Julian F. Miller; Dennis G. Wilson (GECCO (Companion), 2017)

The ethics of automated behavioral microtargeting. - Dennis G. Wilson (AI Matters, 2017)

Evolving simple programs for playing atari games. - Dennis G. Wilson; Sylvain Cussat-Blanc; Hervé Luga; Julian F. Miller (GECCO, 2018)

Summary of evolutionary computation for wind farm layout optimization. - Dennis G. Wilson; Silvio Rodrigues; Carlos Segura; Ilya Loshchilov; Frank Hutter; Guillermo López Buenfil; Ahmed Kheiri; Ed Keedwell; Mario Ocampo-Pineda; Ender Özcan; Sergio Iwan Valdez Pea; Brian Goldman; et al. (GECCO (Companion), 2018)

Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems. - Julian F. Miller; Dennis G. Wilson; Sylvain Cussat-Blanc (GPTP, 2018)

Workshops at PPSN 2018. - Robin C. Purshouse; Christine Zarges; Sylvain Cussat-Blanc; Michael G. Epitropakis; Marcus Gallagher; Thomas Jansen 001; Pascal Kerschke; Xiaodong Li 001; Fernando G. Lobo; Julian F. Miller; Pietro S. Oliveto; Mike Preuss; et al. (PPSN (2), 2018)

Evolving Differentiable Gene Regulatory Networks. - Dennis G. Wilson; Kyle Ira Harrington; Sylvain Cussat-Blanc; Hervé Luga (CoRR, 2018)

Positional Cartesian Genetic Programming. - Dennis G. Wilson; Julian F. Miller; Sylvain Cussat-Blanc; Hervé Luga (CoRR, 2018)

Neuromodulated Learning in Deep Neural Networks. - Dennis G. Wilson; Sylvain Cussat-Blanc; Hervé Luga; Kyle Ira Harrington (CoRR, 2018)

Evolving principes of artificial neural design. (Évolution des principes de la conception des réseaux de neurones artificiels). - Dennis G. Wilson (2019)

A geometric encoding for neural network evolution. - Paul Templier; Emmanuel Rachelson; Dennis G. Wilson (GECCO, 2021)

Improving Image Filters with Cartesian Genetic Programming. - Julien Biau; Dennis Wilson; Sylvain Cussat-Blanc; Hervé Luga (IJCCI, 2021)

On Constrained Optimization in Differentiable Neural Architecture Search. - Kaitlin Maile; Erwan Lecarpentier; Hervé Luga; Dennis G. Wilson (CoRR, 2021)

When, where, and how to add new neurons to ANNs. - Kaitlin Maile; Emmanuel Rachelson; Hervé Luga; Dennis George Wilson (AutoML, 2022)

Neural Distillation as a State Representation Bottleneck in Reinforcement Learning. - Valentin Guillet; Dennis George Wilson; Emmanuel Rachelson (CoLLAs, 2022)

Coevolution of neural networks for agents and environments. - Estelle Chigot; Dennis G. Wilson (GECCO Companion, 2022)

LUCIE: an evaluation and selection method for stochastic problems. - Erwan Lecarpentier; Paul Templier; Emmanuel Rachelson; Dennis G. Wilson (GECCO, 2022)

Genetic improvement of shoreline evolution forecasting models. - Mahmoud Al Najar; Rafael Almar; Erwin W. J. Bergsma; Jean-Marc Delvit; Dennis G. Wilson (GECCO Companion, 2022)

On Neural Consolidation for Transfer in Reinforcement Learning. - Valentin Guillet; Dennis Wilson; Carlos Aguilar Melchor; Emmanuel Rachelson (SSCI, 2022)

Neural Distillation as a State Representation Bottleneck in Reinforcement Learning. - Valentin Guillet; Dennis G. Wilson; Carlos Aguilar Melchor; Emmanuel Rachelson (CoRR, 2022)

Architectural Optimization over Subgroups for Equivariant Neural Networks. - Kaitlin Maile; Dennis G. Wilson; Patrick Forré (CoRR, 2022)

Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches. - Rachid Benshila; Youssra El Bennioui; Gregoire Thoumyre; Rafael Almar; Erwin W. J. Bergsma; Mahmoud Al Najar; Jean-Marc Delvit; Dennis G. Wilson (Remote. Sens., 2022)

Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation. - Ilyass Hammouamri; Timothée Masquelier; Dennis George Wilson (Trans. Mach. Learn. Res., 2022)

Structural Learning in Artificial Neural Networks: A Neural Operator Perspective. - Kaitlin Maile; Hervé Luga; Dennis George Wilson (Trans. Mach. Learn. Res., 2022)

Equivariance-aware Architectural Optimization of Neural Networks. - Kaitlin Maile; Dennis George Wilson; Patrick Forré (ICLR, 2023)

Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis. - Kévin Cortacero; Brienne McKenzie; Sabina Müller; Roxana Khazen; Fanny Lafouresse; Gaëlle Corsaut; Nathalie Van Acker; François-Xavier Frenois; Laurence Lamant; Nicolas Meyer; Béatrice Vergier; Dennis G. Wilson; et al. (CoRR, 2023)

Editorial for Special Issue: "How the Combination of Satellite Remote Sensing with Artificial Intelligence Can Solve Coastal Issues". - Rafael Almar; Dennis Wilson; Jean-Marc Delvit (Remote. Sens., 2023)

Satellite derived bathymetry using deep learning. - Mahmoud Al Najar; Gregoire Thoumyre; Erwin W. J. Bergsma; Rafael Almar; Rachid Benshila; Dennis G. Wilson (Mach. Learn., 2023)

Curiosity Creates Diversity in Policy Search. - Paul-Antoine Le Tolguenec; Emmanuel Rachelson; Yann Besse; Dennis G. Wilson (ACM Trans. Evol. Learn. Optim., 2023)

Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks. - Tarek Kunze; Paul Templier; Dennis G. Wilson (CEC, 2024)

Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. - Paul Templier; Emmanuel Rachelson; Antoine Cully; Dennis G. Wilson (CEC, 2024)

Naturally Interpretable Control Policies via Graph-Based Genetic Programming. - Giorgia Nadizar; Eric Medvet; Dennis G. Wilson (EuroGP, 2024)

Searching for a Diversity of Interpretable Graph Control Policies. - Giorgia Nadizar; Eric Medvet; Dennis Wilson (GECCO, 2024)

Interpretable Control Competition. - Giorgia Nadizar; Luigi Rovito; Dennis G. Wilson; Eric Medvet (GECCO Companion, 2024)

Quality with Just Enough Diversity in Evolutionary Policy Search. - Paul Templier; Luca Grillotti; Emmanuel Rachelson; Dennis Wilson; Antoine Cully (GECCO, 2024)

Summary of "Curiosity creates Diversity in Policy Search". - Paul-Antoine Le Tolguenec; Emmanuel Rachelson; Yann Besse; Dennis Wilson (GECCO Companion, 2024)

Multimodal Adaptive Graph Evolution. - Camilo De La Torre; Kévin Cortacero; Sylvain Cussat-Blanc; Dennis Wilson (GECCO Companion, 2024)

On Search Trajectory Networks for Graph Genetic Programming. - Camilo De La Torre; Sylvain Cussat-Blanc; Dennis Wilson; Yuri Lavinas (GECCO Companion, 2024)

Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper). - Paul-Antoine Le Tolguenec; Emmanuel Rachelson; Yann Besse; Florent Teichteil-Königsbuch; Nicolas Schneider; Hélène Waeselynck; Dennis Wilson (ISSTA, 2024)

Exploration by Learning Diverse Skills through Successor State Representations. - Paul-Antoine Le Tolguenec; Yann Besse; Florent Teichteil-Königsbuch; Dennis Wilson; Emmanuel Rachelson (NeurIPS, 2024)

Multimodal Adaptive Graph Evolution for Program Synthesis. - Camilo De La Torre; Yuri Lavinas; Kévin Cortacero; Hervé Luga; Dennis G. Wilson; Sylvain Cussat-Blanc (PPSN (1), 2024)

Exploration by Learning Diverse Skills through Successor State Measures. - Paul-Antoine Le Tolguenec; Yann Besse; Florent Teichteil-Königsbuch; Dennis G. Wilson; Emmanuel Rachelson (CoRR, 2024)

Exploration by Running Away from the Past. - Paul-Antoine Le Tolguenec; Yann Besse; Florent Teichteil-Königsbuch; Dennis G. Wilson; Emmanuel Rachelson (CoRR, 2024)

Evolved and Transparent Pipelines for Biomedical Image Classification. - Camilo De La Torre; Giorgia Nadizar; Yuri Lavinas; Robin Schwob; Camille Franchet; Hervé Luga; Dennis Wilson; Sylvain Cussat-Blanc (EuroGP, 2025)

Evolution of Inherently Interpretable Visual Control Policies. - Camilo De La Torre; Giorgia Nadizar; Yuri Lavinas; Hervé Luga; Dennis Wilson; Sylvain Cussat-Blanc (GECCO, 2025)

Style transfer with diffusion models for synthetic-to-real domain adaptation. - Estelle Chigot; Dennis G. Wilson; Meriem Ghrib; Thomas Oberlin (Comput. Vis. Image Underst., 2025)

Predicting beach profiles with machine learning from offshore wave reflection spectra. - Elsa Disdier; Rafael Almar; Rachid Benshila; Mahmoud Al Najar; Romain Chassagne; Debajoy Mukherjee; Dennis G. Wilson (Environ. Model. Softw., 2025)