• A Review of Inference Algorithms for Hybrid Bayesian Networks 

      Salmeron, Antonio; Rumi, Rafael; Langseth, Helge; Nielsen, Thomas D.; Madsen, Anders L. (Journal article; Peer reviewed, 2018)
      Hybrid Bayesian networks have received an increasing attention during the last years. The difference with respect to standard Bayesian networks is that they can host discrete and continuous variables simultaneously, which ...
    • Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning 

      Lee, Ritchie; Mengshoel, Ole Jakob; Saksena, Anshu; Gardner, Ryan; Genin, Daniel; Silbermann, Joshua; Owen, Michael; Kochenderfer, Mykel J. (Peer reviewed; Journal article, 2020)
      Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collision avoidance systems and autonomous cars. ...