Probabilistic Perspectives on Slow Feature Analysis
This ongoing project aims to investigate and extend Slow Feature Analysis (SFA) through a probabilistic lens to gather insights on the dependency of optimal features on the process statistics of Markov Decision Processes or reinrepret SFA as variational inference problem.