Christophe Bonneville
Christophe Bonneville
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Bayesian deep learning for partial differential equation parameter discovery with sparse and noisy data
C Bonneville, C Earls
Journal of Computational Physics: X 16, 100115, 2022
Gplasdi: Gaussian process-based interpretable latent space dynamics identification through deep autoencoder
C Bonneville, Y Choi, D Ghosh, JL Belof
Computer Methods in Applied Mechanics and Engineering 418, 116535, 2024
A principled approach to design using high fidelity fluid-structure interaction simulations
W Wu, C Bonneville, C Earls
Finite Elements in Analysis and Design 194, 103562, 2021
Gaussian processes for shock test emulation
C Bonneville, M Jenquin, J Londono, A Kelly, J Cipolla, C Earls
Reliability Engineering & System Safety 212, 107624, 2021
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling
C Bonneville, X He, A Tran, JS Park, W Fries, DA Messenger, SW Cheung, ...
arXiv preprint arXiv:2403.10748, 2024
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
C Bonneville, N Bieberdorf, A Hegde, M Asta, HN Najm, L Capolungo, ...
arXiv preprint arXiv:2406.17119, 2024
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
C Bonneville, Y Choi, D Ghosh, JL Belof
NeurIPS 2023, ML and the Physical Sciences Workshop, 2023
Certified and parameterized latent space dynamics identification for time dependent image data
C Bonneville, X He, JS Chen, W Fries, SW Cheung, D Ghosh, J Belof, ...
AAAI Spring Symposium on Computational Approaches to Scientific Discovery, 2023
Bayesian Machine Learning Algorithms for Uncertainty Quantification, Optimization, and Equation Discoveries in Engineering Physics
C Bonneville
Cornell University, 2023
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