Unsupervised Disentanglement with Tensor Product Representations on the Torus

The current methods for learning representations with auto-encoders almost exclusively employ vectors as the latent representations. In this work, we propose to employ a tensor product structure for this purpose. This way, the obtained representations are naturally disentangled. In contrast to the c...

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Veröffentlicht in:	arXiv.org 2022-02
Hauptverfasser:	Rotman, Michael, Dekel, Amit, Gur, Shir, Oz, Yaron, Wolf, Lior
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Mathematical analysis Representations Tensors Toruses
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