Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity. - Luca Magri; Michael Bauerheim; Matthew P. Juniper (J. Comput. Phys., 2016)

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification. - Luca Magri; Michael Bauerheim; Franck Nicoud; Matthew P. Juniper (J. Comput. Phys., 2016)

Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics. - Antonio Alguacil; Wagner Gonçalves Pinto; Michael Bauerheim; Marc C. Jacob; Stéphane Moreau (ECML/PKDD (5), 2021)

On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems. - Wagner Gonçalves Pinto; Antonio Alguacil; Michael Bauerheim (CoRR, 2021)

Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network. - Ekhi Ajuria Illarramendi; Michael Bauerheim; Bénédicte Cuenot (CoRR, 2021)

Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations. - Lionel Cheng; Ekhi Ajuria Illarramendi; Guillaume Bogopolsky; Michael Bauerheim; Bénédicte Cuenot (CoRR, 2021)

Performance Study of Convolutional Neural Network Architectures for 3D Incompressible Flow Simulations. - Ekhi Ajuria Illarramendi; Michael Bauerheim; Neil Ashton; Corentin Lapeyre; Bénédicte Cuenot (PASC, 2023)

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning. - Zhen Wei; Pascal Fua; Michael Bauerheim (CoRR, 2023)

Comparison of Multigrid and Machine Learning-Based Poisson Solvers. - Hadrien Godé; Carola Kruse; Richard Angersbach; Harald Köstler; Michael Bauerheim; Ulrich Rüde (PPAM (3), 2024)

Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. - Giovanni Catalani; Siddhant Agarwal; Xavier Bertrand; Frederic Tost; Michael Bauerheim; Joseph Morlier (CoRR, 2024)

Robustness and reliability of state-space, frame-based modeling for thermoacoustics. - Mathieu Cances; Luc Giraud; Michael Bauerheim; Laurent Gicquel; Franck Nicoud (J. Comput. Phys., 2025)

Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression. - Enrico Foglia; Benjamin Bobbia; Nikita Durasov; Michael Bauerheim; Pascal Fua; Stéphane Moreau; Thierry Jardin (CoRR, 2025)

Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations. - Giovanni Catalani; Michael Bauerheim; Frederic Tost; Xavier Bertrand; Joseph Morlier (CoRR, 2025)

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations. - Giovanni Catalani; Jean Fesquet; Xavier Bertrand; Frederic Tost; Michael Bauerheim; Joseph Morlier (CoRR, 2025)

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis. - Mouadh Yagoubi; David Danan; Milad Leyli-Abadi; Jocelyn Ahmed Mazari; Jean-Patrick Brunet; Abbas Kabalan; Fabien Casenave; Yuxin Ma; Giovanni Catalani; Jean Fesquet; Jacob Helwig; Xuan Zhang; et al. (CoRR, 2025)