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Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Published 25 Mar 2022 in cs.LG | (2203.13503v1)
Abstract: In this article, we provide the appendix for Lifelong Generative Modelling Using Dynamic Expansion Graph Model. This appendix includes additional visual results as well as the numerical results on the challenging datasets. In addition, we also provide detailed proofs for the proposed theoretical analysis framework. The source code can be found in https://github.com/dtuzi123/Expansion-Graph-Model.
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