37 citations · 37 across the 2 of their papers we have counts for
7 papers
Computational protein design with evolutionary-based and physics-inspired modeling: current and future synergies
Cyril Malbranke, David Bikard, Simona Cocco +2
Computational protein design facilitates discovery of novel proteins with prescribed structure and functionality. Exciting designs were recently reported using novel data-driven me…
'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space
Moshir Harsh, Jérôme Tubiana, Simona Cocco +1
Distributions of data or sensory stimuli often enjoy underlying invariances. How and to what extent those symmetries are captured by unsupervised learning methods is a relevant que…
Inference of compressed Potts graphical models
Francesca Rizzato, Alice Coucke, Eleonora de Leonardis +4
We consider the problem of inferring a graphical Potts model on a population of variables, with a non-uniform number of Potts colors (symbols) across variables. This inverse Potts…
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins
Jérôme Tubiana, Simona Cocco, Rémi Monasson
A Restricted Boltzmann Machine (RBM) is an unsupervised machine-learning bipartite graphical model that jointly learns a probability distribution over data and extracts their relev…
Learning protein constitutive motifs from sequence data
Jérôme Tubiana, Simona Cocco, Rémi Monasson
Statistical analysis of evolutionary-related protein sequences provides insights about their structure, function, and history. We show that Restricted Boltzmann Machines (RBM), des…
Statistical Physics and Representations in Real and Artificial Neural Networks
Simona Cocco, Rémi Monasson, Lorenzo Posani +2
This document presents the material of two lectures on statistical physics and neural representations, delivered by one of us (R.M.) at the Fundamental Problems in Statistical Phys…