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In this paper, we propose a new volume-preserving flow and show that itperforms similarly to the linear general normalizing flow. The idea is toenrich a linear Inverse Autoregressive Flow by introducing multiplelower-triangular matrices with ones on the diagonal and combining them using aconvex combination. In the experimental studies on MNIST and Histopathologydata we show that the proposed approach outperforms other volume-preservingflows and is competitive with current state-of-the-art linear normalizing flow.

Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow