Appendix - Compression with Bayesian Implicit Neural Representations Anonymous Author(s) Affiliation Address email

Neural Information Processing Systems 

In addition to the four appendix sections mentioned in our main paper, we would like to draw atten-1 tion to two additional experiments: one evaluating the practical training and coding time, and the2 other investigating the impact of the number of training samples. These two experiments, especially3 the later one, offer crucial insights and are detailed in Appendix E1 and Appendix E2, respectively.4 Algorithm 1 A* encoding Require: Proposal distribution pw and target distribution qw. In our experiments, we used global-bound depth-limited A*7 coding to achieve this [1]. We describe the encoding procedure in Algorithm 1 and the decoding8 procedure in Algorithm 2. For brevity, we refer to this particular variant of the algorithm as A*9 coding for the rest of the appendix.10

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