Lionel Mathelin

20 papers C 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.
CoRR
Rémy Hosseinkhan Boucher, Onofrio Semeraro, Lionel Mathelin
2025 J jnl
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes.
CoRR
Rémy Hosseinkhan-Boucher, Onofrio Semeraro, Lionel Mathelin
2025 — conf
Learning non-Markovian Dynamical Systems with Signature-based Encoders.
ML-DE
Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin
2025 J jnl
Learning non-Markovian Dynamical Systems with Signature-based Encoders.
CoRR
Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin
2024 — conf
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.
OLA
Rémy Hosseinkhan Boucher, Onofrio Semeraro, Lionel Mathelin
2024 — conf
Increasing information for model predictive control with semi-Markov decision processes.
L4DC
Rémy Hosseinkhan Boucher, Stella Douka, Onofrio Semeraro, Lionel Mathelin
2024 J jnl
Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems.
CoRR
Thibault Monsel, Emmanuel Menier, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat
2024 — conf
Time and State Dependent Neural Delay Differential Equations.
ML-DE
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat
2023 J jnl
Neural State-Dependent Delay Differential Equations.
CoRR
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat
2022 J jnl
CD-ROM: Complementary Deep-Reduced Order Model.
CoRR
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer
2022 J jnl
Continuous Methods : Adaptively intrusive reduced order model closure.
CoRR
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Thibault Dairay, Raphaël Meunier, Marc Schoenauer
2022 J jnl
Continuous Methods : Hamiltonian Domain Translation.
CoRR
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer
2021 J jnl
Leveraging the structure of dynamical systems for data-driven modeling.
CoRR
Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen, Sergio Chibbaro, Lionel Mathelin
2019 J jnl
Randomized Dynamic Mode Decomposition.
SIAM J. Appl. Dyn. Syst.
N. Benjamin Erichson, Lionel Mathelin, J. Nathan Kutz, Steven L. Brunton
2019 J jnl
Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data.
CoRR
N. Benjamin Erichson, Lionel Mathelin, Zhewei Yao, Steven L. Brunton, Michael W. Mahoney, J. Nathan Kutz
2018 J jnl
Diffusion Maps meet Nyström.
CoRR
N. Benjamin Erichson, Lionel Mathelin, Steven L. Brunton, J. Nathan Kutz
2017 J jnl
Identification-Based Closed-Loop Control Strategies for a Cylinder Wake Flow.
IEEE Trans. Control. Syst. Technol.
Ercan Atam, Lionel Mathelin, Laurent Cordier
2015 C conf
A machine learning approach for constrained sensor placement.
ACC
Kevin Kasper, Lionel Mathelin, Hisham Abou-Kandil
2010 J jnl
Closed-loop fluid flow control using a low dimensional model.
Math. Comput. Model.
Lionel Mathelin, Mohamed Abbas-Turki, Luc Pastur, Hisham Abou-Kandil
2005 J jnl
Stochastic approaches to uncertainty quantification in CFD simulations.
Numer. Algorithms
Lionel Mathelin, M. Yousuff Hussaini, Thomas A. Zang