Efficient evaluation of the direct and adjoint linearized dynamics from compressible flow solvers. - Miguel Fosas de Pando; Denis Sipp; Peter J. Schmid (J. Comput. Phys., 2012)

Computation of eigenvalue sensitivity to base flow modifications in a discrete framework: Application to open-loop control. - Clément Mettot; Florent Renac; Denis Sipp (J. Comput. Phys., 2014)

Nonlinear model-order reduction for compressible flow solvers using the Discrete Empirical Interpolation Method. - Miguel Fosas de Pando; Peter J. Schmid; Denis Sipp (J. Comput. Phys., 2016)

Structured linear fractional parametric controller H∞ design and its applications. - Charles Poussot-Vassal; Colin Leclercq; Denis Sipp (ECC, 2018)

Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods. - Denis Sipp; Miguel Fosas de Pando; Peter J. Schmid (CoRR, 2020)

Cavity flow controlled with an array of magneto-mechanical micro-valves. - Thomas Arnoult; Cecile Ghouila-Houri; Colin Leclercq; Aurélien Mazzamurro; Romain Viard; Eric Garnier; Denis Sipp; Alain Merlen; Abdelkrim Talbi; Philippe Pernod (IEEE SENSORS, 2021)

Symmetry-Aware Autoencoders: s-PCA and s-nlPCA. - Simon Kneer; Taraneh Sayadi; Denis Sipp; Peter J. Schmid; Georgios Rigas (CoRR, 2021)

Data-driven framework for input/output lookup tables reduction - with application to hypersonic flows in chemical non-equilibrium. - Clément Scherding; Georgios Rigas; Denis Sipp; Peter J. Schmid; Taraneh Sayadi (CoRR, 2022)

Interpolatory-Based Data-Driven Pulsed Fluidic Actuator Control Design and Experimental Validation. - Charles Poussot-Vassal; Pauline Kergus; Franck Kerhervé; Denis Sipp; Laurent Cordier (IEEE Trans. Control. Syst. Technol., 2022)

Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder. - Priyam Gupta; Peter J. Schmid; Denis Sipp; Taraneh Sayadi; Georgios Rigas (CoRR, 2023)

RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure. - Clément Scherding; Georgios Rigas; Denis Sipp; Peter J. Schmid; Taraneh Sayadi (CoRR, 2023)

BROADCAST: A high-order compressible CFD toolbox for stability and sensitivity using Algorithmic Differentiation. - Arthur Poulain; Cédric Content; Denis Sipp; Georgios Rigas; Eric Garnier (Comput. Phys. Commun., 2023)

A robust computational framework for variational data assimilation of mean flows with sparse measurements corrupted by strong outliers. - Souvik Ghosh; Vincent Mons; Denis Sipp; Peter J. Schmid (J. Comput. Phys., 2024)

An adaptive learning strategy for surrogate modeling of high-dimensional functions - Application to unsteady hypersonic flows in chemical nonequilibrium. - Clément Scherding; Georgios Rigas; Denis Sipp; Peter J. Schmid; Taraneh Sayadi (Comput. Phys. Commun., 2025)

Efficient and accurate data-driven wall modelling strategy for Reynolds averaged Navier-Stokes simulations. - Michele Romanelli; Samir Beneddine; Ivan Mary; Héloïse Beaugendre; Michel Bergmann; Denis Sipp (J. Comput. Phys., 2025)