Usman recently attended the 38th Conference on Uncertainty in Artificial Intelligence at the Eindhoven University of Technology in the Netherlands. It was an elite platform where attendees had several keynotes, tutorials, and workshops about uncertainty in AI.
Some of the highlights of the conference include Bayesian modeling applications, tractable probabilistic modeling, causal representation learning, reinforcement learning and deep learning.
“Causality and Deep learning, and causal inference are some of the methodologies I will be deploying in my work. Hence, that was a timely opportunity of learning, networking, and discussing the ETN REPAIRS and my work with the researchers working on this subject. Many thanks to ETN REPAIRS and MEDIAN for the sponsorship and AUAI for the scholarship.”