Lionel Mathelin

According to our database, Lionel Mathelin authored at least 18 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Increasing Information for Model Predictive Control with Semi-Markov Decision Processes.

Rémy Hosseinkhan-Boucher, Onofrio Semeraro, Lionel Mathelin

CoRR, January, 2025

Learning non-Markovian Dynamical Systems with Signature-based Encoders.

Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin

Proceedings of the 2nd ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2025

2024

Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems.

Thibault Monsel, Emmanuel Menier, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat

CoRR, 2024

Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.

Rémy Hosseinkhan Boucher, Onofrio Semeraro, Lionel Mathelin

Proceedings of the Optimization and Learning - 7th International Conference, 2024

Time and State Dependent Neural Delay Differential Equations.

Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat

Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2024

Increasing information for model predictive control with semi-Markov decision processes.

Rémy Hosseinkhan Boucher, Stella Douka, Onofrio Semeraro, Lionel Mathelin

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Neural State-Dependent Delay Differential Equations.

Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat

CoRR, 2023

2022

Continuous Methods : Adaptively intrusive reduced order model closure.

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Thibault Dairay, Raphaël Meunier, Marc Schoenauer

CoRR, 2022

Continuous Methods : Hamiltonian Domain Translation.

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer

CoRR, 2022

CD-ROM: Complementary Deep-Reduced Order Model.

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer

CoRR, 2022

2021

Leveraging the structure of dynamical systems for data-driven modeling.

Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen, Sergio Chibbaro, Lionel Mathelin

CoRR, 2021

2019

Randomized Dynamic Mode Decomposition.

N. Benjamin Erichson, Lionel Mathelin, J. Nathan Kutz, Steven L. Brunton

SIAM J. Appl. Dyn. Syst., 2019

Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data.

N. Benjamin Erichson, Lionel Mathelin, Zhewei Yao, Steven L. Brunton, Michael W. Mahoney, J. Nathan Kutz

CoRR, 2019

2018

Diffusion Maps meet Nyström.

N. Benjamin Erichson, Lionel Mathelin, Steven L. Brunton, J. Nathan Kutz

CoRR, 2018

2017

Identification-Based Closed-Loop Control Strategies for a Cylinder Wake Flow.

Ercan Atam, Lionel Mathelin, Laurent Cordier

IEEE Trans. Control. Syst. Technol., 2017

2015

A machine learning approach for constrained sensor placement.

Kevin Kasper, Lionel Mathelin, Hisham Abou-Kandil

Proceedings of the American Control Conference, 2015

2010

Closed-loop fluid flow control using a low dimensional model.

Lionel Mathelin, Mohamed Abbas-Turki, Luc Pastur, Hisham Abou-Kandil

Math. Comput. Model., 2010

2005

Stochastic approaches to uncertainty quantification in CFD simulations.

Lionel Mathelin, M. Yousuff Hussaini, Thomas A. Zang

Numer. Algorithms, 2005