Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Supplementary Materials Ruizhi Deng 1,2 Bo Chang 1 Marcus A. Brubaker 1,3,4 Greg Mori

We base the justification on the following two propositions. Work developed during an internship at Borealis AI. Poisson processes for training and test. For the mixture of OU processes (MOU), we sample 5000 sequences from each of two different OU processes and mix them to obtain 10000 sequences. As mentioned in Section 5.2 of the paper, we compare our models against the baselines on three datasets: Mujoco-Hopper, Beijing Air-Quality dataset (BAQD), and PTB Diagnostic The sequence length of the Mujoco-Hopper dataset is 200 and the sequence length of BAQD is 168.