Stochastic approaches to uncertainty quantification in CFD simulations. - Lionel Mathelin; M. Yousuff Hussaini; Thomas A. Zang (Numer. Algorithms, 2005)

Closed-loop fluid flow control using a low dimensional model. - Lionel Mathelin; Mohamed Abbas-Turki; Luc Pastur; Hisham Abou-Kandil (Math. Comput. Model., 2010)

A machine learning approach for constrained sensor placement. - Kevin Kasper; Lionel Mathelin; Hisham Abou-Kandil (ACC, 2015)

Identification-Based Closed-Loop Control Strategies for a Cylinder Wake Flow. - Ercan Atam; Lionel Mathelin; Laurent Cordier (IEEE Trans. Control. Syst. Technol., 2017)

Diffusion Maps meet Nyström. - N. Benjamin Erichson; Lionel Mathelin; Steven L. Brunton; J. Nathan Kutz (CoRR, 2018)

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)

Randomized Dynamic Mode Decomposition. - N. Benjamin Erichson; Lionel Mathelin; J. Nathan Kutz; Steven L. Brunton (SIAM J. Appl. Dyn. Syst., 2019)

Leveraging the structure of dynamical systems for data-driven modeling. - Alessandro Bucci; Onofrio Semeraro; Alexandre Allauzen; Sergio Chibbaro; Lionel Mathelin (CoRR, 2021)

CD-ROM: Complementary Deep-Reduced Order Model. - Emmanuel Menier; Michele Alessandro Bucci; Mouadh Yagoubi; Lionel Mathelin; Marc Schoenauer (CoRR, 2022)

Continuous Methods : Hamiltonian Domain Translation. - Emmanuel Menier; Michele Alessandro Bucci; Mouadh Yagoubi; Lionel Mathelin; Marc Schoenauer (CoRR, 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)

Neural State-Dependent Delay Differential Equations. - Thibault Monsel; Onofrio Semeraro; Lionel Mathelin; Guillaume Charpiat (CoRR, 2023)

Increasing information for model predictive control with semi-Markov decision processes. - Rémy Hosseinkhan Boucher; Stella Douka; Onofrio Semeraro; Lionel Mathelin (L4DC, 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 (CoRR, 2025)

Increasing Information for Model Predictive Control with Semi-Markov Decision Processes. - Rémy Hosseinkhan Boucher; Onofrio Semeraro; Lionel Mathelin (CoRR, 2025)