Author

Gabriele Marino

SIB Swiss Institute of BioinformaticsORCID 0000-0001-6519-406XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1

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Cecilia Valenzuela AgüíiD· 1 shared Daniele SilvestroiD· 1 shared Tanja StadleriD· 1 shared Ugnė StolziD· 1 shared

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2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperEvolutionary Biology

Cecilia Valenzuela AgüíORCID

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1 paper

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Evolutionary BiologybioRxivPreprintFeb 4, 2026

Bayesian neural networks enable inference of complex phylodynamic processes

Gabriele Marino, Ugnė Stolz, Cecilia Valenzuela Agüí…·Daniele Silvestro

This paper introduces BELLA, a Bayesian neural network framework for modeling complex phylodynamic processes, showing improved accuracy over linear models in capturing nonlinear relationships between predictors and evolutionary rates.

DOI 10.64898/2026.02.03.703458

deep learningBayesian inference

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