217 citations · 1.3k across the 32 of their papers we have counts for
34 papers
Bayesian interpolation for power laws in neural data analysis
Iván A. Davidovich, Yasser Roudi
Power laws arise in a variety of phenomena ranging from matter undergoing phase transition to the distribution of word frequencies in the English language. Usually, their presence…
Quantifying Relevance in Learning and Inference
Matteo Marsili, Yasser Roudi
Learning is a distinctive feature of intelligent behaviour. High-throughput experimental data and Big Data promise to open new windows on complex systems such as cells, the brain o…
Restricted Boltzmann Machines as Models of Interacting Variables
Nicola Bulso, Yasser Roudi
We study the type of distributions that Restricted Boltzmann Machines (RBMs) with different activation functions can express by investigating the effect of the activation function…
Efficiency of local learning rules in threshold-linear associative networks
Francesca Schönsberg, Yasser Roudi, Alessandro Treves
We derive the Gardner storage capacity for associative networks of threshold linear units, and show that with Hebbian learning they can operate closer to such Gardner bound than bi…
On the complexity of logistic regression models
Nicola Bulso, Matteo Marsili, Yasser Roudi
We investigate the complexity of logistic regression models which is defined by counting the number of indistinguishable distributions that the model can represent (Balasubramanian…
Minimum Description Length codes are critical
Ryan John Cubero, Matteo Marsili, Yasser Roudi
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…