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 ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

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 physical understanding.

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...