Monthly Archives: August 2016

Talk by Riaan Zoetmulder

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!

AbstractDetermining 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. 

First prize in CRM Causal Inference Challenge

An interdisciplinary team of AMLAB researchers, a biologist and a doctor won the first prize in the CRM Causal Inference Challenge (part of the Workshop Statistical Causal Inference and its Applications to Genetics, July 25 – August 19, Montreal, Canada). The team was led by Joris Mooij and consisted of AMLAB members Tom Claassen, Sara Magliacane, Philip Versteeg, Stephan Bongers, Thijs van Ommen, Patrick Forre, and external researchers Renée van Amerongen (Swammerdam Institute for Life Sciences) and Lucas van Eijk (Radboud University Medical Center). The task of the challenge was to predict values of certain phenotypic variables of knockout mice, given data from wildtype and other knockout mice.