most citedA Multi-Scale Deep Learning Framework for Projecting Weather Extremes

11 citations · 11 across the 1 of their papers we have counts for

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stat.ML2020

Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification

Antoine Blanchard, Themistoklis Sapsis

We introduce a class of acquisition functions for sample selection that leads to faster convergence in applications related to Bayesian experimental design and uncertainty quantifi…

stat.ML2020

Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring

Antoine Blanchard, Themistoklis Sapsis

An unmanned autonomous vehicle (UAV) is sent on a mission to explore and reconstruct an unknown environment from a series of measurements collected by Bayesian optimization. The su…