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Found 6 papers, 2 papers with code
GenCast: Diffusion-based ensemble forecasting for medium-range weather
Probabilistic weather forecasting is critical for decision-making in high-impact domains such as flood forecasting, energy system planning or transportation routing, where quantifying the uncertainty of a forecast -- including probabilities of extreme events -- is essential to guide important cost-benefit trade-offs and mitigation measures.
GraphCast: Learning skillful medium-range global weather forecasting
Global medium-range weather forecasting is critical to decision-making across many social and economic domains.
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
To address these challenges, we present a Deep Generative Model for the probabilistic nowcasting of precipitation from radar.
Contour location via entropy reduction leveraging multiple information sources
We introduce an algorithm to locate contours of functions that are expensive to evaluate.
Lookahead Bayesian Optimization with Inequality Constraints
We consider the task of optimizing an objective function subject to inequality constraints when both the objective and the constraints are expensive to evaluate.
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
We consider the problem of optimizing an expensive objective function when a finite budget of total evaluations is prescribed.
