• Common Regulatory Pathways Mediate Activity of MicroRNAs Inducing Cardiomyocyte Proliferation 

      Torrini, Consuelo; Cubero, Ryan John Abat; Dirkx, Ellen; Braga, Luca; Ali, Hashim; Prosdocimo, Giulia; Gutierrez, Maria Ines; Collesi, Chiara; Licastro, Danilo; Zentilin, Lorena; Mano, Miguel; Zacchigna, Serena; Vendruscolo, Michele; Marsili, Matteo; Samal, Areejit; Giacca, Mauro (Journal article; Peer reviewed, 2019)
      Loss of functional cardiomyocytes is a major determinant of heart failure after myocardial infarction. Previous high throughput screening studies have identified a few microRNAs (miRNAs) that can induce cardiomyocyte ...
    • Minimum Description Length Codes Are Critical 

      Cubero, Ryan John Abat; Marsili, Matteo; Roudi, Yasser (Journal article; Peer reviewed, 2018)
      In the Minimum Description Length (MDL) principle, learning from the data is equivalent to an optimal coding problem. We show that the codes that achieve optimal compression in MDL are critical in a very precise sense. ...
    • Minimum Description Length codes are critical 

      Cubero, Ryan John Abat; Marsili, Matteo; Roudi, Yasser (Journal article; Peer reviewed, 2018)
      In the Minimum Description Length (MDL) principle, learning from the data is equivalent to an optimal coding problem. We show that the codes that achieve optimal compression in MDL are critical in a very precise sense. ...
    • Sparse model selection in the highly under-sampled regime 

      Bulso, Nicola; Marsili, Matteo; Roudi, Yasser (Journal article, 2016)
      We propose a method for recovering the structure of a sparse undirected graphical model when very few samples are available. The method decides about the presence or absence of bonds between pairs of variable by considering ...
    • The Stochastic Complexity of Spin Models: Are Pairwise Models Really Simple? 

      Beretta, Alberto; Battistin, Claudia; de Mulatier, Clelia; Mastromatteo, Iacopo; Marsili, Matteo (Journal article; Peer reviewed, 2018)
      Models can be simple for different reasons: because they yield a simple and computationally efficient interpretation of a generic dataset (e.g., in terms of pairwise dependencies)—as in statistical learning—or because they ...