Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data

30 Jun 2020Francesco TonoliniPablo G. MorenoAndreas DamianouRoderick Murray-Smith

We propose a new probabilistic method for unsupervised recovery of corrupted data. Given a large ensemble of degraded samples, our method recovers accurate posteriors of clean values, allowing the exploration of the manifold of possible reconstructed data and hence characterising the underlying uncertainty... (read more)

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