Michael Bauerheim

16 papers Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression.
CoRR
Enrico Foglia, Benjamin Bobbia, Nikita Durasov, Michael Bauerheim, Pascal Fua, Stéphane Moreau, Thierry Jardin
2025 J jnl
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations.
CoRR
Giovanni Catalani, Michael Bauerheim, Frederic Tost, Xavier Bertrand, Joseph Morlier
2025 J jnl
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis.
CoRR
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, Haiyang Yu, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji
2025 J jnl
Robustness and reliability of state-space, frame-based modeling for thermoacoustics.
J. Comput. Phys.
Mathieu Cances, Luc Giraud, Michael Bauerheim, Laurent Gicquel, Franck Nicoud
2025 J jnl
Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations.
CoRR
Giovanni Catalani, Jean Fesquet, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier
2024 J jnl
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations.
CoRR
Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier
2024 — conf
Comparison of Multigrid and Machine Learning-Based Poisson Solvers.
PPAM (3)
Hadrien Godé, Carola Kruse, Richard Angersbach, Harald Köstler, Michael Bauerheim, Ulrich Rüde
2023 J jnl
Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning.
CoRR
Zhen Wei, Pascal Fua, Michael Bauerheim
2023 — conf
Performance Study of Convolutional Neural Network Architectures for 3D Incompressible Flow Simulations.
PASC
Ekhi Ajuria Illarramendi, Michael Bauerheim, Neil Ashton, Corentin Lapeyre, Bénédicte Cuenot
2021 — conf
Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics.
ECML/PKDD (5)
Antonio Alguacil, Wagner Gonçalves Pinto, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau
2021 J jnl
Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics.
CoRR
Antonio Alguacil, Wagner Gonçalves Pinto, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau
2021 J jnl
On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems.
CoRR
Wagner Gonçalves Pinto, Antonio Alguacil, Michael Bauerheim
2021 J jnl
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network.
CoRR
Ekhi Ajuria Illarramendi, Michael Bauerheim, Bénédicte Cuenot
2021 J jnl
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations.
CoRR
Lionel Cheng, Ekhi Ajuria Illarramendi, Guillaume Bogopolsky, Michael Bauerheim, Bénédicte Cuenot
2016 J jnl
Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity.
J. Comput. Phys.
Luca Magri, Michael Bauerheim, Matthew P. Juniper
2016 J jnl
Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification.
J. Comput. Phys.
Luca Magri, Michael Bauerheim, Franck Nicoud, Matthew P. Juniper