123 citations · 123 across the 3 of their papers we have counts for
4 papers
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows
Brian Groenke, Luke Madaus, Claire Monteleoni
Downscaling is a landmark task in climate science and meteorology in which the goal is to use coarse scale, spatio-temporal data to infer values at finer scales. Statistical downsc…
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat +3
The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecas…
Evaluating the distribution learning capabilities of GANs
Amit Rege, Claire Monteleoni
We evaluate the distribution learning capabilities of generative adversarial networks by testing them on synthetic datasets. The datasets include common distributions of points in…
Cooperative Online Learning: Keeping your Neighbors Updated
Nicolò Cesa-Bianchi, Tommaso R. Cesari, Claire Monteleoni
We study an asynchronous online learning setting with a network of agents. At each time step, some of the agents are activated, requested to make a prediction, and pay the correspo…