Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

Eight papers from the Helsinki Probabilistic Machine Learning Lab have been accepted at major conferences this January. Five papers will be presented at the International Conference on Learning ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new ...