Traffic Engineering (TE) is a basic building block of the Internet. In this paper, we analyze whether modern Machine Learning (ML) methods are ready to be used for TE optimization. We address this open question through a comparative analysis between the s... (more…)

Posted by Christian Frank, Google Research, Zürich Melodies stuck in your head, often referred to as “ earworms ,” are a well-known and s... (more…)

For many machine learning practitioners, training loop is a universally agreed upon concept as demonstrated by numerous documentations, conference papers to use the word without any reference. It would a helpful concept for many beginners to get familiar ... (more…)

More about the work we’ve been doing to improve our ML algorithms within Twitter, and our path forward through a company-wide initiative called Responsible ML. (more…)

A collection of research papers and software related to explainability in graph machine learning. - AstraZeneca/awesome-explainable-graph-reasoning... (more…)