Author

Riccardo Zecchina

Bocconi UniversityORCID 0000-0002-1221-5207Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:protein sequence· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Carlo Baldassi· 2 shared Christoph FeinaueriD· 1 shared Clarissa Lauditi· 1 shared Davide Bergamini· 1 shared Enrico M. MalatestaiD· 1 shared Fabrizio Pittorino· 1 shared Matteo Negri· 1 shared Nicolas BruneliD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Carlo Baldassi

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2 papers

Recent·Most cited

NeurosciencePRX LifePeer-reviewedJun 16, 2025

Impact of dendritic non-linearities on the computational capabilities of neurons

Clarissa Lauditi, Enrico M. Malatesta, Fabrizio Pittorino…·Riccardo Zecchina

This paper shows that dendritic non-linearities improve a neuron's computational power by increasing learned associations, learning speed, and generalization performance.

4 citations

statistical modelbenchmarking

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 30, 2019

Natural representation of composite data with replicated autoencoders

Matteo Negri, Davide Bergamini, Carlo Baldassi…·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.

1 citation

protein sequencestatistical model

𝕏 PostBluesky