Machine Learning Today: Current Research And Advances From AMLAB, UvA

With the deep learning 'revolution' barely a decade old, the field of machine learning is accumulating a growing number of interesting research problems. The Amsterdam Machine Learning Laboratory (AMLAB), headed by Profs. Max Welling and Joris Mooij, has enjoyed considerable participation in the creation of many of these areas. Our research spans many subdisciplines including: approximate Bayesian methods, causal inference, equivariant representations, graph neural networks, spiking neural networks, neural compression, low-cost computation, reinforcement learning, explainable AI, medical imaging, generative modelling, flow models, and many more. In this talk, Daniel Worrall (postdoc) will introduce and showcase some of the recent advances from the lab.