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20222026
most citedBenchmarking Bayesian neural networks and evaluation metrics for regression tasks

2 citations · 7 across the 7 of their papers we have counts for

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cs.LG2025

Scalable and adaptive prediction bands with kernel sum-of-squares

Louis Allain, Sébastien da Veiga, Brian Staber

Conformal Prediction (CP) is a popular framework for constructing prediction bands with valid coverage in finite samples, while being free of any distributional assumption. A well-…

cs.LG2025★ 1 cited

PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations

Fabien Casenave, Xavier Roynard, Brian Staber +17

Machine learning-based surrogate models have emerged as a powerful tool to accelerate simulation-driven scientific workflows, but their adoption is limited by the lack of large-sca…