However, as I discuss, the scope of machine-learning tasks is even broader than these pattern classification or mapping tasks ... of state-of-the-art methods is a probabilistic model with 384 ...

all specializing in probabilistic machine learning methods and their applications. The groups are led by professors Luigi Acerbi, Antti Honkela, Aapo Hyvärinen, Arto Klami, Mikko Koivisto, Kai ...

We develop novel methods ... machine learning. This includes theoretical work on identifiability, causality, and computational complexity, as well as development of core algorithms for tasks like ...

20+ Machine Learning Methods in Groundbreaking Periodic Table ... By consolidating machine learning approaches into a coherent map, I-Con is transforming how researchers think about model design ...