Brian Staber

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 7

Top Topics

Gaussian Process

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Raphaël Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. AISTATS (2024)
Raphaël Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. CoRR (2024)
Fabien Casenave, Brian Staber, Xavier Roynard
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability. CoRR (2023)
Clément Bénard, Brian Staber, Sébastien Da Veiga
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization. NeurIPS (2023)
Fabien Casenave, Brian Staber, Xavier Roynard
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability. NeurIPS (2023)
Brian Staber, Sébastien Da Veiga
Quantitative performance evaluation of Bayesian neural networks. CoRR (2022)
Brian Staber, Johann Guilleminot
Approximate Solutions of Lagrange Multipliers for Information-Theoretic Random Field Models. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)