60 citations · 87 across the 5 of their papers we have counts for
5 papers
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes
Antoine Blanchard, Nishant Parashar, Boyko Dodov +2
Weather extremes are a major societal and economic hazard, claiming thousands of lives and causing billions of dollars in damage every year. Under climate change, their impact and…
Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs
Yibo Yang, Antoine Blanchard, Themistoklis Sapsis +1
We present a new type of acquisition functions for online decision making in multi-armed and contextual bandit problems with extreme payoffs. Specifically, we model the payoff func…
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…
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…
Bayesian Optimization with Output-Weighted Optimal Sampling
Antoine Blanchard, Themistoklis Sapsis
In Bayesian optimization, accounting for the importance of the output relative to the input is a crucial yet challenging exercise, as it can considerably improve the final result b…