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@@ -101,5 +101,14 @@ The Multi-factor Sequential Disentanglement benchmark includes a **modified vari
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  Y. Li, J. Yu, C. Zhang, C. Gan.
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  *Disentangled Sequential Autoencoder*, ICML 2018.
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  https://arxiv.org/abs/1803.02991
 
 
 
 
 
 
 
 
 
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  ⚠ **Note:** The Sprites dataset does not have an explicit open-source license. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above paper when using this dataset in your work.
 
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  Y. Li, J. Yu, C. Zhang, C. Gan.
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  *Disentangled Sequential Autoencoder*, ICML 2018.
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  https://arxiv.org/abs/1803.02991
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+
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+ ```
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+ @inproceedings{li2018disentangle,
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+ title = {Disentangled Sequential Autoencoder},
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+ author = {Li, Yingzhen and Mandt, Stephan},
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+ booktitle = {International Conference on Machine Learning},
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+ year = {2018}
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+ }
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+ ```
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  ⚠ **Note:** The Sprites dataset does not have an explicit open-source license. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above paper when using this dataset in your work.