Serge Prudhomme

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 15

Top Topics

Bayesian Inference

Response Surface

Top Venues

Comput. Math. Appl.

Adv. Model. Simul. Eng. Sci.

SIAM/ASA J. Uncertain. Quantification

Publications

Clément Vella, Pierre Gosselet, Serge Prudhomme
An Efficient PGD Solver for Structural Dynamics Applications. CoRR (2024)
Ziad Aldirany, Régis Cottereau, Marc Laforest, Serge Prudhomme
Operator approximation of the wave equation based on deep learning of Green's function. Comput. Math. Appl. 159 (2024)
Noujoud Nader, Patrick Diehl, Marta D'Elia, Christian Glusa, Serge Prudhomme
ML-based identification of the interface regions for coupling local and nonlocal models. CoRR (2024)
Clément Vella, Pierre Gosselet, Serge Prudhomme
An efficient PGD solver for structural dynamics applications. Adv. Model. Simul. Eng. Sci. 11 (1) (2024)
Ziad Aldirany, Régis Cottereau, Marc Laforest, Serge Prudhomme
Operator approximation of the wave equation based on deep learning of Green's function. CoRR (2023)
Clément Vella, Serge Prudhomme
PGD reduced-order modeling for structural dynamics applications. CoRR (2023)
Antonin Paquette-Rufiange, Serge Prudhomme, Marc Laforest
Optimal Design of Validation Experiments for the Prediction of Quantities of Interest. CoRR (2023)
Ziad Aldirany, Régis Cottereau, Marc Laforest, Serge Prudhomme
Multi-level Neural Networks for Accurate Solutions of Boundary-Value Problems. CoRR (2023)
Ziad Aldirany, Régis Cottereau, Marc Laforest, Serge Prudhomme
Optimal error analysis of the spectral element method for the 2D homogeneous wave equation. Comput. Math. Appl. 119 (2022)
Patrick Diehl, Serge Prudhomme
Coupling approaches for classical linear elasticity and bond-based peridynamic models. CoRR (2022)
Serge Prudhomme, Patrick Diehl
On the treatment of boundary conditions for bond-based peridynamic models. CoRR (2020)
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning. CoRR (2019)
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning. MLHPC@SC (2019)
Kenan Kergrene, Ludovic Chamoin, Marc Laforest, Serge Prudhomme
On a Goal-Oriented Version of the Proper Generalized Decomposition Method. J. Sci. Comput. 81 (1) (2019)
Vikram V. Garg, Serge Prudhomme
Enhanced functional evaluation for the finite element penalty method. Comput. Math. Appl. 78 (12) (2019)
Serge Prudhomme, Corey M. Bryant
Adaptive surrogate modeling for response surface approximations with application to bayesian inference. Adv. Model. Simul. Eng. Sci. 2 (1) (2015)
Kenji Miki, Marco Panesi, Serge Prudhomme
Systematic validation of non-equilibrium thermochemical models using Bayesian inference. J. Comput. Phys. 298 (2015)
Corey M. Bryant, Serge Prudhomme, Tim Wildey
Error Decomposition and Adaptivity for Response Surface Approximations from PDEs with Parametric Uncertainty. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Vikram V. Garg, Serge Prudhomme, Kris G. van der Zee, Graham F. Carey
Adjoint-consistent formulations of slip models for coupled electroosmotic flow systems. Adv. Model. Simul. Eng. Sci. 1 (1) (2014)
Rebecca E. Morrison, Corey M. Bryant, Gabriel Terejanu, Serge Prudhomme, Kenji Miki
Data partition methodology for validation of predictive models. Comput. Math. Appl. 66 (10) (2013)
Kenji Miki, Marco Panesi, Ernesto E. Prudencio, Serge Prudhomme
Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen. J. Comput. Phys. 231 (9) (2012)
Kenji Miki, Marco Panesi, Ernesto E. Prudencio, Serge Prudhomme
Corrigendum to "Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen" [JCOMP 231(9) (2012) 3871-3886]. J. Comput. Phys. 231 (15) (2012)
Sai Hung Cheung, Todd A. Oliver, Ernesto E. Prudencio, Serge Prudhomme, Robert D. Moser
Bayesian uncertainty analysis with applications to turbulence modeling. Reliab. Eng. Syst. Saf. 96 (9) (2011)
Chandrajit L. Bajaj, J. Tinsley Oden, Kenneth R. Diller, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, L. Bidaut, Leszek F. Demkowicz, Andrew Elliott, Yusheng Feng, David Fuentes, Boseob Kwon, Serge Prudhomme, R. Jason Stafford, Yongjie Zhang
Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. International Conference on Computational Science (1) (2007)
J. Tinsley Oden, Serge Prudhomme, Albert Romkes, Paul T. Bauman
MultiScale Modeling of Physical Phenomena: Adaptive Control of Models. SIAM J. Sci. Comput. 28 (6) (2006)
J. Tinsley Oden, Kenneth R. Diller, Chandrajit L. Bajaj, James C. Browne, John D. Hazle, Ivo Babuska, Jon Bass, Leszek F. Demkowicz, Yusheng Feng, David Fuentes, Serge Prudhomme, Marissa Nichole Rylander, R. Jason Stafford, Yongjie Zhang
Development of a Computational Paradigm for Laser Treatment of Cancer. International Conference on Computational Science (3) (2006)
J. Tinsley Oden, James C. Browne, Ivo Babuska, Chandrajit L. Bajaj, Leszek F. Demkowicz, L. Gray, Jon Bass, Yusheng Feng, Serge Prudhomme, Fabio Nobile, Raúl Tempone
A Dynamic Data Driven Computational Infrastructure for Reliable Computer Simulations. International Conference on Computational Science (2004)
Albert Romkes, Serge Prudhomme, J. Tinsley Oden
error estimation for a new stabilized discontinuous Galerkin method. Appl. Math. Lett. 16 (4) (2003)