You are all cordially invited to an AMLab seminar during the summer period at Tuesday August 23 at 16:00 in C3.163, where Riaan Zoetmulder will give a talk titled “Deep Causal Inference”. Afterwards there are the usual drinks and snacks!
Abstract: Determining causality is important for many fields of science. A variety of algorithms have been developed that are capable of discerning what the direction of causality is, given the data. Recent developments in deep learning however have shown that artificial deep neural networks have excellent performance on a variety of classification problems. This paper therefore seeks to ascertain whether causality can be determined using a deep learning approach. We have found that this is possible in two different ways; one can hand design features and train a deep neural network on them. Or one can design the deep neural network to detect features itself and learn how to classify accordingly.