Natural representation of composite data with replicated autoencoders
Matteo Negri, Davide Bergamini, Carlo Baldassi, Riccardo Zecchina, Christoph Feinauer
This paper introduces a method using replicated autoencoders optimized for local entropy to infer compositional features from noisy data, showing improved performance on synthetic and protein sequence data.
bioRxiv · Sep 30, 2019 · PreprintBioinformatics