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Le Tolguenec, Paul-Antoine, Rachelson Emmanuel, Besse, Yann, Teichteil-Königsbuch Florent, Schneider Nicolas, Waeselynck, Hélène, Wilson Dennis, Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper) : Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis. 2024, 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024-09-20 - 2024-09-16 (2024-09-16, Vienna)
Guillet Valentin, Wilson Dennis, Aguilar-Melchor Carlos, Rachelson Emmanuel, Neural Distillation as a State Representation Bottleneck in Reinforcement Learning. 2022, Conference on Lifelong Learning Agents 2022, 2022-08-18 - 2022-08-24 (2022-08-24, Montréal)
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning
Guillet Valentin, Wilson Dennis, Aguilar-Melchor Carlos, Rachelson Emmanuel, On Neural Consolidation for Transfer in Reinforcement Learning. 2022, IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning 2022, 2022-12-04 - 2022-12-07 (2022-12-07, Singapore)
On Neural Consolidation for Transfer in Reinforcement Learning
Templier Paul, Rachelson Emmanuel, Wilson Dennis, A geometric encoding for neural network evolution : Proceedings of the Genetic and Evolutionary Computation Conference. 2021, GECCO ’21 : Genetic and Evolutionary Computation Conference, 2021-07-10 - 2021-07-14 (2021-07-14, Lille)
Wilson Dennis, Rodrigues Silvio, Segura Carlos, Loshchilov Ilya, Hutter Frank, López Buenfil Guillermo, Kheiri Ahmed, Keedwell Ed, Ocampo-Pineda Mario, Ozcan Ender, Valdez Peña Sergio Ivvan, Goldman Brian, Botello Rionda Salvadore, Hernández-Aguirre Arturo, Veeramachaneni Kalyan, Cussat-Blanc Sylvain, Evolutionary computation for wind farm layout optimization. 2018, Renewable Energy. 126. 681-691. ISSN 0960-1481
Wilson Dennis, Cussat-Blanc Sylvain, Luga Hervé, Miller Julian, Evolving simple programs for playing atari games : GECCO ’18 : Proceedings of the Genetic and Evolutionary Computation Conference. 2018, Genetic and Evolutionary Computation COnference (GECCO 2018), 2018-07-19 - 2018-07-15 (2018-07-15, Kyoto)
Wilson Dennis, Disset Jean, Cussat-Blanc Sylvain, Duthen Yves, Luga Hervé, Learning Aquatic Locomotion with Animats : Proceedings of ECAL 2017, the 14th European Conference on Artificial Life. 2017, ECAL 2017 : the 14th European Conference on Artificial Life, 2017-09-08 - 2017-09-04 (2017-09-04, Lyon)
Disset Jean, Wilson Dennis, Cussat-Blanc Sylvain, Sanchez Stéphane, Luga Hervé, Duthen Yves, A Comparison of Genetic Regulatory Network Dynamics and Encoding : GECCO ’17 Proceedings of the Genetic and Evolutionary Computation Conference. 2017, Genetic and Evolutionary Computation COnference (GECCO 2017), 2017-07-19 - 2017-07-15 (2017-07-15, Berlin)
Wilson Dennis, Cussat-Blanc Sylvain, Luga Hervé, Evolving genetic regulatory networks for online neurogenesis : Proceedings of 6th MEW. 2016, 6th Morphogenetic Engineering Workshop (MEW 2016) at ALife XV : Artificial Life Conference - 2016-07-04 (2016-07-04, Cancun)
Evolving genetic regulatory networks for online neurogenesis : Proceedings of 6th MEW
Wilson Dennis, Cussat-Blanc Sylvain, Luga Hervé, The Evolution of Artificial Neurogenesis : GECCO ’16 : Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. 2016, Genetic and Evolutionary Computation Conference Companion (GECCO 2016), 2016-07-24 - 2016-07-20 (2016-07-20, Denver)
Wilson Dennis, Cussat-Blanc Sylvain, Veeramachaneni Kalyan, O’Reilly Una-May, Luga Hervé, A Continuous Developmental Model for Wind Farm Layout Optimization : Proceedings of the 2014 conference on Genetic and evolutionary computation. 2014, Genetic and Evolutionary Computation COnference - GECCO 2014, 2014-07-16 - 2014-07-12 (2014-07-12, Vancouver)
Wilson Dennis, Awa Emmanuel, Cussat-Blanc Sylvain, Veeramachaneni Kalyan, O’Reilly Una-May, On Learning to Generate Wind Farm Layouts : Proceedings of the 15th annual conference on Genetic and evolutionary computation. 2013, Genetic and Evolutionary Computation COnference - GECCO 2013, 2013-07-10 - 2013-07-06 (2013-07-06, Amsterdam)
Al Najar, Mahmoud, Thoumyre, Grégoire, Bergsma, Erwin, Almar, Rafael, Benshila, Rachid, Wilson, Dennis, Satellite Derived Bathymetry Using Deep Learning
Al Najar, Mahmoud, El Bennioui, Youssra, Thoumyre, Grégoire, Almar, Rafael, Bergsma, Erwin, Benshila, Rachid, Delvit, Jean-Marc, Wilson, Dennis, Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery : Comparing Deep Learning and Physics-Based Approaches
Cortacero, Kévin, Mckenzie, Brienne, Müller, Sabina, Khazen, Roxana, Lafouresse, Fanny, Corsaut, Gaëlle, van Acker, Nathalie, Frenois, François-Xavier, Lamant, Laurence, Meyer, Nicolas, Vergier, Béatrice, Wilson, Dennis, Luga, Hervé, Staufer, Oskar, Dustin, Michael, Valitutti, Salvatore, Cussat-Blanc, Sylvain, Evolutionary design of explainable algorithms for biomedical image segmentation
Evolutionary design of explainable algorithms for biomedical image segmentation
Al Najar, Mahmoud, El Bennioui, Youssra, Thoumyre, Grégoire, Almar, Rafael, Bergsma, Erwin, Benshila, Rachid, Delvit, Jean-Marc, Wilson, Dennis, A Combined Color and Wave-based Approach to Satellite Derived Bathymetry using Deep Learning
A Combined Color and Wave-based Approach to Satellite Derived Bathymetry using Deep Learning
Al Najar, Mahmoud, Almar, Rafael, Bergsma, Erwin, Delvit, Jean-Marc, Wilson, Dennis, Improving a shoreline forecasting model with Symbolic Regression
Improving a shoreline forecasting model with Symbolic Regression
Benshila, Rachid, Thoumyre, Grégoire, Najar, Mahmoud Al, Abessolo, Grégoire, Almar, Rafael, Bergsma, Erwin, Hugonnard, Guillaume, Labracherie, Laurent, Lavie, Benjamin, Ragonneau, Tom, Simon, Ehouarn, Vieublé, Bastien, Wilson, Dennis, A Deep Learning Approach for Estimation of the Nearshore Bathymetry
A Deep Learning Approach for Estimation of the Nearshore Bathymetry
Luga, Hervé, Rachelson, Emmanuel, Maile, Kaitlin, Wilson, Dennis, When, where, and how to add new neurons to ANNs
Najar, Mahmoud Al, Almar, Rafael, Bergsma, Erwin, Delvit, Jean-Marc, Wilson, Dennis, Genetic improvement of shoreline evolution forecasting models
Genetic improvement of shoreline evolution forecasting models
Miller, Julian, Wilson, Dennis G., Cussat-Blanc, Sylvain, Evolving Programs to Build Artificial Neural Networks
Disdier, Elsa, Almar, Rafael, Benshila, Rachid, Al Najar, Mahmoud, Chassagne, Romain, Mukherjee, Debajoy, Wilson, Dennis, Predicting beach profiles with machine learning from offshore wave reflection spectra
Predicting beach profiles with machine learning from offshore wave reflection spectra
Hammouamri, Ilyass, Masquelier, Timothée, Wilson, Dennis, Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation
Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation
Templier, Paul, Rachelson, Emmanuel, Wilson, Dennis, A geometric encoding for neural network evolution
Le Tolguenec, Paul-Antoine, Rachelson, Emmanuel, Besse, Yann, Teichteil-Koenigsbuch, Florent, Schneider, Nicolas, Waeselynck, Hélène, Wilson, Dennis, Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper)
Exploration-Driven Reinforcement Learning for Avionic System Fault Detection (Experience Paper)