145 citations · 172 across the 7 of their papers we have counts for
3 papers · 1 filter
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Eduardo R. Rodrigues, Igor Oliveira, Renato L. F. Cunha +1
Running high-resolution physical models is computationally expensive and essential for many disciplines. Agriculture, transportation, and energy are sectors that depend on high-res…
An argument in favor of strong scaling for deep neural networks with small datasets
Renato L. de F. Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana +1
In recent years, with the popularization of deep learning frameworks and large datasets, researchers have started parallelizing their models in order to train faster. This is cruci…
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
Igor Oliveira, Renato L. F. Cunha, Bruno Silva +1
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources. Most solutions for yield…