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@@ -17,7 +17,7 @@ This trained model reproduces the results of Table 1 in [1].
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  | Model | Dataset | Metric | Obtained value | Reference value |
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  |:---:|:---:|:---:|:---:|:---:|
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- | IWAE (n_samples=5) | Binary MNIST | NLL (5000 IS) | | 87.6 |
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  | **IWAE (n_samples=50)** | Binary MNIST | NLL (5000 IS) | 86.82 (0.01) | 87.1 |
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  [1] Burda, Y. et al, *Importance Weighted Autoencoders*, ArXiv:1509.00519
 
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  | Model | Dataset | Metric | Obtained value | Reference value |
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  |:---:|:---:|:---:|:---:|:---:|
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+ | IWAE (n_samples=5) | Binary MNIST | NLL (5000 IS) | 87.85 (0.01) | 87.6 |
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  | **IWAE (n_samples=50)** | Binary MNIST | NLL (5000 IS) | 86.82 (0.01) | 87.1 |
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  [1] Burda, Y. et al, *Importance Weighted Autoencoders*, ArXiv:1509.00519