Brian Staber

Orcid: 0000-0001-5372-1547

According to our database1, Brian Staber authored at least 6 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Online presence:

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Bibliography

2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability.
CoRR, 2023

MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Quantitative performance evaluation of Bayesian neural networks.
CoRR, 2022

2015
Approximate Solutions of Lagrange Multipliers for Information-Theoretic Random Field Models.
SIAM/ASA J. Uncertain. Quantification, 2015


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