Marc Schoenauer

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 65

Top Venues

Publications

Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer
Multi-Level GNN Preconditioner for Solving Large Scale Problems. IPDPS (Workshops) (2024)
Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. CoRR (2024)
Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Maroua Gmati, Asma Farjallah, Paola Cinnella, Patrick Gallinari, Marc Schoenauer
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. CoRR (2024)
Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer
Multi-Level GNN Preconditioner for Solving Large Scale Problems. CoRR (2024)
Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). CoRR (2024)
Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Petros Koumoutsakos
Interpretable learning of effective dynamics for multiscale systems. CoRR (2023)
Alexandre Quemy, Marc Schoenauer, Johann Dréo
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front. CoRR (2023)
Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, Marc Schoenauer
An Implicit GNN Solver for Poisson-like problems. CoRR (2023)
Mathurin Videau, Nickolai Knizev, Alessandro Leite, Marc Schoenauer, Olivier Teytaud
Interactive Latent Diffusion Model. GECCO (2023)
Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer
Meta-Learning for Airflow Simulations with Graph Neural Networks. CoRR (2023)
Alessandro Ferreira Leite, Marc Schoenauer
Memetic Semantic Genetic Programming for Symbolic Regression. EuroGP (2023)
Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivo, Michèle Sebag, Marc Schoenauer
Learning meta-features for AutoML. ICLR (2022)
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer
Continuous Methods : Hamiltonian Domain Translation. CoRR (2022)
Georgios Zervakis, Emmanuel Vincent, Miguel Couceiro, Marc Schoenauer, Esteban Marquer
An Analogy based Approach for Solving Target Sense Verification. NLPIR (2022)
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Thibault Dairay, Raphaël Meunier, Marc Schoenauer
Continuous Methods : Adaptively intrusive reduced order model closure. CoRR (2022)
Mathurin Videau, Alessandro Leite, Olivier Teytaud, Marc Schoenauer
Multi-objective Genetic Programming for Explainable Reinforcement Learning. EuroGP (2022)
Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat, Thibault Faney, Jean-Marc Gratien, Michele Alessandro Bucci
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations). CoRR (2022)
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer
CD-ROM: Complementary Deep-Reduced Order Model. CoRR (2022)
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics - 22 Years of Paradiseo -. CoRR (2021)
Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer
Zoetrope Genetic Programming for Regression. CoRR (2021)
Georgios Zervakis, Emmanuel Vincent, Miguel Couceiro, Marc Schoenauer
On Refining BERT Contextualized Embeddings using Semantic Lexicons. MLSMKG@PKDD/ECML (2021)
Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer
Multi-resolution Graph Neural Networks for PDE Approximation. ICANN (3) (2021)
Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat, Zakaria Chihani
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification. CoRR (2021)
Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo. GECCO Companion (2021)
Mikhail Evchenko, Joaquin Vanschoren, Holger H. Hoos, Marc Schoenauer, Michèle Sebag
Frugal Machine Learning. CoRR (2021)
Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer
Zoetrope genetic programming for regression. GECCO (2021)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26 (2) (2020)
Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI (2020)
Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer
Deep Statistical Solvers. NeurIPS (2020)
Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
LEAP nets for system identification and application to power systems. Neurocomputing 416 (2020)
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag
Automated Machine Learning with Monte-Carlo Tree Search (Extended Version). CoRR (2019)
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag
Automated Machine Learning with Monte-Carlo Tree Search. IJCAI (2019)
Edgar Galván, Marc Schoenauer
Promoting semantic diversity in multi-objective genetic programming. GECCO (2019)
Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
LEAP nets for power grid perturbations. CoRR (2019)
Marc Nabhan, Marc Schoenauer, Yves Tourbier, Hiba Hage
Optimizing coverage of simulated driving scenarios for the autonomous vehicle. ICCVE (2019)
Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Frank Neumann, Marc Schoenauer
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints. CoRR (2019)
Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Marc Schoenauer
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints. CEC (2019)
Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. CoRR (2019)
Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
LEAP nets for power grid perturbations. ESANN (2019)
Alice Schoenauer Sebag, Louise Heinrich, Marc Schoenauer, Michèle Sebag, Lani F. Wu, Steven J. Altschuler
Multi-Domain Adversarial Learning. ICLR (Poster) (2019)
Alice Schoenauer Sebag, Louise Heinrich, Marc Schoenauer, Michèle Sebag, Lani F. Wu, Steven J. Altschuler
Multi-Domain Adversarial Learning. CoRR (2019)
Luis Martí, Marc Schoenauer
Bio-inspired approaches to anomaly and intrusion detection. GECCO (Companion) (2018)
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici
Fast Power system security analysis with Guided Dropout. CoRR (2018)
Chaouki Boufenar, Mohamed Batouche, Marc Schoenauer
An artificial immune system for offline isolated handwritten arabic character recognition. Evol. Syst. 9 (1) (2018)
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici
Anticipating contingengies in power grids using fast neural net screening. IJCNN (2018)
Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici
Fast Power system security analysis with Guided Dropout. ESANN (2018)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
Tutorials at PPSN 2018. PPSN (2) (2018)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR (2018)
Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici
Optimization of computational budget for power system risk assessment. ISGT Europe (2018)
Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici
Optimization of computational budget for power system risk assessment. CoRR (2018)
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, Antoine Marot
Introducing machine learning for power system operation support. CoRR (2017)
Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo
On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. Artificial Evolution (2017)
Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo
Dynamic GP fitness cases in static and dynamic optimisation problems. GECCO (Companion) (2017)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Per instance algorithm configuration of CMA-ES with limited budget. GECCO (2017)
François Gonard, Marc Schoenauer, Michèle Sebag
ASAP.V2 and ASAP.V3: Sequential optimization of an Algorithm Selector and a Scheduler. OASC (2017)
Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
Progressively adding objectives: a case study in anomaly detection. GECCO (2017)
Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Damien Vincent
Toward Optimal Run Racing: Application to Deep Learning Calibration. CoRR (2017)
Alice Schoenauer Sebag, Marc Schoenauer, Michèle Sebag
Stochastic Gradient Descent: Going As Fast As Possible But Not Faster. CoRR (2017)
Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer
Anti Imitation-Based Policy Learning. ECML/PKDD (2) (2016)
Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. GECCO (Companion) (2016)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Surrogate Assisted Feature Computation for Continuous Problems. LION (2016)
Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. PPSN (2016)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Feature Based Algorithm Configuration: A Case Study with Differential Evolution. PPSN (2016)
Edgar Galván López, Efrén Mezura-Montes, Ouassim Ait ElHara, Marc Schoenauer
On the Use of Semantics in Multi-objective Genetic Programming. PPSN (2016)
Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. CoRR (2016)
Alexandre Quemy, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve. LION (2015)
Alexandre Quemy, Marc Schoenauer
True Pareto Fronts for Multi-objective AI Planning Instances. EvoCOP (2015)
Edgar Galván López, Marc Schoenauer, Constantinos Patsakis, Leonardo Trujillo
Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. IJCCI (Selected Papers) (2015)
Robyn Ffrancon, Marc Schoenauer
Greedy Semantic Local Search for Small Solutions. GECCO (Companion) (2015)
Robyn Ffrancon, Marc Schoenauer
Greedy Semantic Local Search for Small Solutions. Artificial Evolution (2015)
Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Parameter Setting for Multicore CMA-ES with Large Populations. Artificial Evolution (2015)
Robyn Ffrancon, Marc Schoenauer
Memetic Semantic Genetic Programming. GECCO (2015)
Edgar Galván López, Marc Schoenauer, Constantinos Patsakis
Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms. IJCCI (ECTA) (2015)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. PPSN (2014)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES. CoRR (2014)
Marc Schoenauer, Riad Akrour, Michèle Sebag, Jean-Christophe Souplet
Programming by Feedback. ICML (2014)
Gaétan Marceau-Caron, Marc Schoenauer
Racing Multi-objective Selection Probabilities. PPSN (2014)
Gaétan Marceau, Marc Schoenauer
Racing Multi-Objective Selection Probabilities. CoRR (2014)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches. EvoCOP (2013)
Gaétan Marceau, Pierre Savéant, Marc Schoenauer
Multiobjective optimization for reducing delays and congestion in air traffic management. GECCO (Companion) (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark. EMO (2013)
Manuel Loth, Michèle Sebag, Youssef Hamadi, Marc Schoenauer, Christian Schulte
Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop Problem. LION (2013)
Youssef Hamadi, Marc Schoenauer
Guest editorial: special issue - revised selected papers of the LION 6 conference. Ann. Math. Artif. Intell. 69 (2) (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches CoRR (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Pareto-Based Multiobjective AI Planning. IJCAI (2013)
Gaétan Marceau, Pierre Savéant, Marc Schoenauer
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management. CoRR (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning. LION (2013)
François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau
Sustainable cooperative coevolution with a multi-armed bandit. GECCO (2013)
Manuel Loth, Michèle Sebag, Youssef Hamadi, Marc Schoenauer
Bandit-Based Search for Constraint Programming. CP (2013)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Bi-population CMA-ES agorithms with surrogate models and line searches. GECCO (Companion) (2013)
Gaétan Marceau, Pierre Savéant, Marc Schoenauer
Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management. CoRR (2013)
Gaétan Marceau, Pierre Savéant, Marc Schoenauer
Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem. CoRR (2013)
Gaétan Marceau Caron, Pierre Savéant, Marc Schoenauer
Multiobjective tactical planning under uncertainty for air traffic flow and capacity management. IEEE Congress on Evolutionary Computation (2013)
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning CoRR (2013)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es). GECCO (2013)
François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau
Sustainable Cooperative Coevolution with a Multi-Armed Bandit CoRR (2013)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization. CoRR (2013)
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy CoRR (2012)
Areski Hadjaz, Gaétan Marceau, Pierre Savéant, Marc Schoenauer
Increasing Air Traffic: What is the Problem? CoRR (2012)
Riad Akrour, Marc Schoenauer, Michèle Sebag
APRIL: Active Preference-learning based Reinforcement Learning CoRR (2012)

Marc Schoenauer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Marc Schoenauer