Appendix - Compression with Bayesian Implicit Neural Representations

" 8 (1) Then, it can be shown that by setting We also provide the specific coding time in Appendix E1. We introduce the experimental settings here and summarize the settings in Table 1. We use a 4-layer MLP with 16 hidden units and 32 Fourier embeddings for the CIFAR-10 dataset. The model prior is trained with 128 epochs to ensure convergence. Here, the term "epoch" is used We use two models with different capacity for compressing high-resolution Kodak images.