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Dennis Wilson
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2020 – today
- 2025
- [j8]Elsa Disdier, Rafael Almar
, Rachid Benshila
Predicting beach profiles with machine learning from offshore wave reflection spectra. Environ. Model. Softw. 183: 106221 (2025) - 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
Naturally Interpretable Control Policies via Graph-Based Genetic Programming. EuroGP 2024: 73-89 - [c28]Giorgia Nadizar
Searching for a Diversity of Interpretable Graph Control Policies. GECCO 2024 - [c27]Giorgia Nadizar
Interpretable Control Competition. GECCO Companion 2024: 11-12 - [c26]Paul Templier
Quality with Just Enough Diversity in Evolutionary Policy Search. GECCO 2024 - [c25]Paul-Antoine Le Tolguenec
Summary of "Curiosity creates Diversity in Policy Search". GECCO Companion 2024: 43-44 - [c24]Camilo De La Torre
Multimodal Adaptive Graph Evolution. GECCO Companion 2024: 499-502 - [c23]Camilo De La Torre
On Search Trajectory Networks for Graph Genetic Programming. GECCO Companion 2024: 1681-1685 - [c22]Paul-Antoine Le Tolguenec
Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper). ISSTA 2024: 920-931 - [c21]Camilo De La Torre
Multimodal Adaptive Graph Evolution for Program Synthesis. PPSN (1) 2024: 306-321 - [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
- [j7]Mahmoud Al Najar
Satellite derived bathymetry using deep learning. Mach. Learn. 112(4): 1107-1130 (2023) - [j6]Rafael Almar
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
Curiosity Creates Diversity in Policy Search. ACM Trans. Evol. Learn. Optim. 3(3): 12:1-12:20 (2023) - [c20]Kaitlin Maile, Dennis George Wilson, Patrick Forré:
Equivariance-aware Architectural Optimization of Neural Networks. ICLR 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
- [j4]Rachid Benshila
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) - [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
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 - [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
- [c13]Paul Templier
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 - [i5]Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis G. Wilson:
On Constrained Optimization in Differentiable Neural Architecture Search. CoRR abs/2106.11655 (2021)
2010 – 2019
- 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 - 2018
- [c11]Dennis G. Wilson, Silvio Rodrigues, Carlos Segura
Summary of evolutionary computation for wind farm layout optimization. GECCO (Companion) 2018: 31-32 - [c10]Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga
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
Workshops at PPSN 2018. PPSN (2) 2018: 490-497 - [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) - 2017
- [j1]Dennis G. Wilson:
The ethics of automated behavioral microtargeting. AI Matters 3(3): 56-64 (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
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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