TRL Lab

Welcome to the page of the Table Representation Learning (TRL) Lab ✨!

Our research is focused on representation learning and generative models for structured data, typically relational tables. While most AI research attends to images and text data, proportional progress on structured data is lacking. Structured data, however, is prevaling in the data landscape and actually contains highly valuable information that empowers important decisions in, for example, governments, enterprises, and healthcare. Our research spans machine learning, databases, information retrieval, natural language processing, and human-computer interaction.

The TRL Lab is led by dr. ir. Madelon Hulsebos, and hosts an excellent group of postdoc, PhD, and master-level researchers at CWI. The lab is also affiliated with the Table Representation Learning research theme at ELLIS unit Amsterdam, where we organize the TRL seminar and reading group. Beyond CWI, we currently collaborate with researchers at the University of Amsterdam, UC Berkeley, the UN Humanitarian Data Centre, and Google Research. The lab is currently funded by an AiNed grant from the Dutch Research Council (NWO) and an industry grant from SAP.

Check our open positions to join us! For research- or societal collaborations, or sponsoring the lab, please reach out.