2 citations · 2 across the 1 of their papers we have counts for
3 papers
Variational autoencoders understand knot topology
Anna Braghetto, Sumanta Kundu, Marco Baiesi +1
Supervised machine learning (ML) methods are emerging as valid alternatives to standard mathematical methods for identifying knots in long, collapsed polymers. Here, we introduce a…
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
Anna Braghetto, Enzo Orlandini, Marco Baiesi
Explainable and interpretable unsupervised machine learning helps understand the underlying structure of data. We introduce an ensemble analysis of machine learning models to conso…
Machine learning understands knotted polymers
Anna Braghetto, Sumanta Kundu, Marco Baiesi +1
Simulated configurations of flexible knotted rings confined inside a spherical cavity are fed into long-short term memory neural networks (LSTM NNs) designed to distinguish knot ty…