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Structured Disentangling Networks for Learning Deformation Invariant Latent Spaces - Master's thesis

Disentangling latent spaces is an important research direction in the interpretability of unsupervised machine learning. Several recent works using deep learning are very effective at producing disentangled representations. However, in the …