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ORCIDDennis Wilson
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Books and Theses
- 2019
[b1]Dennis G. Wilson:
Evolving principes of artificial neural design. (Évolution des principes de la conception des réseaux de neurones artificiels). Paul Sabatier University, Toulouse, France, 2019
Journal Articles
- 2025
- [j8]Elsa Disdier, Rafael Almar
, Rachid Benshila, Mahmoud Al Najar, Romain Chassagne, Debajoy Mukherjee, Dennis G. Wilson:
Predicting beach profiles with machine learning from offshore wave reflection spectra. Environ. Model. Softw. 183: 106221 (2025) - 2023
- [j7]Mahmoud Al Najar, Gregoire Thoumyre, Erwin W. J. Bergsma, Rafael Almar, Rachid Benshila, Dennis G. Wilson:
Satellite derived bathymetry using deep learning. Mach. Learn. 112(4): 1107-1130 (2023) - [j6]Rafael Almar, Dennis Wilson, Jean-Marc Delvit:
Editorial for Special Issue: "How the Combination of Satellite Remote Sensing with Artificial Intelligence Can Solve Coastal Issues". Remote. Sens. 15(11): 2897 (2023) - [j5]Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis G. Wilson:
Curiosity Creates Diversity in Policy Search. ACM Trans. Evol. Learn. Optim. 3(3): 12:1-12:20 (2023) - 2022
- [j4]Rachid Benshila, Youssra El Bennioui, Gregoire Thoumyre, Rafael Almar, Erwin W. J. Bergsma, Mahmoud Al Najar, Jean-Marc Delvit, Dennis G. Wilson:
Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches. Remote. Sens. 14(5): 1196 (2022) - [j3]Ilyass Hammouamri, Timothée Masquelier, Dennis George Wilson:
Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation. Trans. Mach. Learn. Res. 2022 (2022) - [j2]Kaitlin Maile, Hervé Luga, Dennis George Wilson:
Structural Learning in Artificial Neural Networks: A Neural Operator Perspective. Trans. Mach. Learn. Res. 2022 (2022) - 2017
- [j1]Dennis G. Wilson:
The ethics of automated behavioral microtargeting. AI Matters 3(3): 56-64 (2017)
Conference and Workshop Papers
- 2024
- [c31]Tarek Kunze, Paul Templier, Dennis G. Wilson:
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks. CEC 2024: 1-8 - [c30]Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson:
Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. CEC 2024: 1-9 - [c29]Giorgia Nadizar, Eric Medvet, Dennis G. Wilson:
Naturally Interpretable Control Policies via Graph-Based Genetic Programming. EuroGP 2024: 73-89 - [c28]Giorgia Nadizar, Eric Medvet, Dennis Wilson:
Searching for a Diversity of Interpretable Graph Control Policies. GECCO 2024 - [c27]Giorgia Nadizar, Luigi Rovito, Dennis G. Wilson, Eric Medvet:
Interpretable Control Competition. GECCO Companion 2024: 11-12 - [c26]Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully:
Quality with Just Enough Diversity in Evolutionary Policy Search. GECCO 2024 - [c25]Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis Wilson:
Summary of "Curiosity creates Diversity in Policy Search". GECCO Companion 2024: 43-44 - [c24]Camilo De La Torre, Kévin Cortacero, Sylvain Cussat-Blanc, Dennis Wilson:
Multimodal Adaptive Graph Evolution. GECCO Companion 2024: 499-502 - [c23]Camilo De La Torre, Sylvain Cussat-Blanc, Dennis Wilson, Yuri Lavinas:
On Search Trajectory Networks for Graph Genetic Programming. GECCO Companion 2024: 1681-1685 - [c22]Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Florent Teichteil-Königsbuch, Nicolas Schneider, Hélène Waeselynck, Dennis Wilson:
Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper). ISSTA 2024: 920-931 - [c21]Camilo De La Torre, Yuri Lavinas, Kévin Cortacero, Hervé Luga, Dennis G. Wilson, Sylvain Cussat-Blanc:
Multimodal Adaptive Graph Evolution for Program Synthesis. PPSN (1) 2024: 306-321 - 2023
- [c20]Kaitlin Maile, Dennis George Wilson, Patrick Forré:
Equivariance-aware Architectural Optimization of Neural Networks. ICLR 2023 - 2022
- [c19]Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson:
When, where, and how to add new neurons to ANNs. AutoML 2022: 18/1-12 - [c18]Valentin Guillet, Dennis George Wilson, Emmanuel Rachelson:
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning. CoLLAs 2022: 798-818 - [c17]Erwan Lecarpentier, Paul Templier, Emmanuel Rachelson, Dennis G. Wilson:
LUCIE: an evaluation and selection method for stochastic problems. GECCO 2022: 730-738 - [c16]Mahmoud Al Najar, Rafael Almar, Erwin W. J. Bergsma, Jean-Marc Delvit, Dennis G. Wilson:
Genetic improvement of shoreline evolution forecasting models. GECCO Companion 2022: 1916-1923 - [c15]Estelle Chigot, Dennis G. Wilson:
Coevolution of neural networks for agents and environments. GECCO Companion 2022: 2306-2309 - [c14]Valentin Guillet, Dennis Wilson, Carlos Aguilar Melchor, Emmanuel Rachelson:
On Neural Consolidation for Transfer in Reinforcement Learning. SSCI 2022: 867-874 - 2021
- [c13]Paul Templier, Emmanuel Rachelson, Dennis G. Wilson:
A geometric encoding for neural network evolution. GECCO 2021: 919-927 - [c12]Julien Biau, Dennis Wilson, Sylvain Cussat-Blanc, Hervé Luga:
Improving Image Filters with Cartesian Genetic Programming. IJCCI 2021: 17-27 - 2018
- [c11]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, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc:
Summary of evolutionary computation for wind farm layout optimization. GECCO (Companion) 2018: 31-32 - [c10]Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga, Julian F. Miller:
Evolving simple programs for playing atari games. GECCO 2018: 229-236 - [c9]Julian F. Miller, Dennis G. Wilson, Sylvain Cussat-Blanc:
Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems. GPTP 2018: 137-178 - [c8]Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda:
Workshops at PPSN 2018. PPSN (2) 2018: 490-497 - 2017
- [c7]Dennis G. Wilson, Jean Disset, Sylvain Cussat-Blanc, Yves Duthen, Hervé Luga:
Learning aquatic locomotion with animats. ECAL 2017: 585-592 - [c6]Julian F. Miller, Dennis G. Wilson:
A developmental artificial neural network model for solving multiple problems. GECCO (Companion) 2017: 69-70 - [c5]Jean Disset, Dennis G. Wilson, Sylvain Cussat-Blanc, Stéphane Sanchez, Hervé Luga, Yves Duthen:
A comparison of genetic regulatory network dynamics and encoding. GECCO 2017: 91-98 - 2016
- [c4]Dennis Wilson, Sylvain Cussat-Blanc, Hervé Luga:
The Evolution of Artificial Neurogenesis. GECCO (Companion) 2016: 1047-1048 - 2014
- [c3]Dennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Hervé Luga:
A continuous developmental model for wind farm layout optimization. GECCO 2014: 745-752 - 2013
- [c2]Dennis Wilson, Kalyan Veeramachaneni, Una-May O'Reilly:
Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems. EvoApplications 2013: 519-528 - [c1]Dennis Wilson, Emmanuel Awa, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly:
On learning to generate wind farm layouts. GECCO 2013: 767-774
Informal and Other Publications
- 2024
- [i15]Tarek Kunze, Paul Templier, Dennis G. Wilson:
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks. CoRR abs/2403.14019 (2024) - [i14]Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis G. Wilson, Antoine Cully:
Quality with Just Enough Diversity in Evolutionary Policy Search. CoRR abs/2405.04308 (2024) - [i13]Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson:
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies. CoRR abs/2405.04322 (2024) - [i12]Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Königsbuch, Dennis G. Wilson, Emmanuel Rachelson:
Exploration by Learning Diverse Skills through Successor State Measures. CoRR abs/2406.10127 (2024) - 2023
- [i11]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, Hervé Luga, Oskar Staufer, Michael L. Dustin, Salvatore Valitutti, Sylvain Cussat-Blanc:
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis. CoRR abs/2302.14762 (2023) - 2022
- [i10]Kaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis G. Wilson:
When, where, and how to add new neurons to ANNs. CoRR abs/2202.08539 (2022) - [i9]Valentin Guillet, Dennis G. Wilson, Carlos Aguilar Melchor, Emmanuel Rachelson:
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning. CoRR abs/2210.02224 (2022) - [i8]Valentin Guillet, Dennis G. Wilson, Carlos Aguilar Melchor, Emmanuel Rachelson:
On Neural Consolidation for Transfer in Reinforcement Learning. CoRR abs/2210.02240 (2022) - [i7]Kaitlin Maile, Dennis G. Wilson, Patrick Forré:
Architectural Optimization over Subgroups for Equivariant Neural Networks. CoRR abs/2210.05484 (2022) - [i6]Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis G. Wilson:
Curiosity creates Diversity in Policy Search. CoRR abs/2212.03530 (2022) - 2021
- [i5]Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis G. Wilson:
On Constrained Optimization in Differentiable Neural Architecture Search. CoRR abs/2106.11655 (2021) - 2018
- [i4]Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga, Julian F. Miller:
Evolving simple programs for playing Atari games. CoRR abs/1806.05695 (2018) - [i3]Dennis G. Wilson, Kyle Ira Harrington, Sylvain Cussat-Blanc, Hervé Luga:
Evolving Differentiable Gene Regulatory Networks. CoRR abs/1807.05948 (2018) - [i2]Dennis G. Wilson, Julian F. Miller, Sylvain Cussat-Blanc, Hervé Luga:
Positional Cartesian Genetic Programming. CoRR abs/1810.04119 (2018) - [i1]Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga, Kyle Ira Harrington:
Neuromodulated Learning in Deep Neural Networks. CoRR abs/1812.03365 (2018)
Coauthor Index
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