796 citations · 5.3k across the 118 of their papers we have counts for
121 papers
Multiscale Relevance of Natural Images
Samy Lakhal, Alexandre Darmon, Iacopo Mastromatteo +2
We use an agnostic information-theoretic approach to investigate the statistical properties of natural images. We introduce the Multiscale Relevance (MSR) measure to assess the rob…
A Bayesian theory of market impact
Louis Saddier, Matteo Marsili
The available liquidity at any time in financial markets falls largely short of the typical size of the orders that institutional investors would trade. In order to reduce the impa…
A simple probabilistic neural network for machine understanding
Rongrong Xie, Matteo Marsili
We discuss probabilistic neural networks with a fixed internal representation as models for machine understanding. Here understanding is intended as mapping data to an already exis…
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…
A random energy approach to deep learning
Rongrong Xie, Matteo Marsili
We study a generic ensemble of deep belief networks which is parametrized by the distribution of energy levels of the hidden states of each layer. We show that, within a random ene…
The rise and fall of hubs in Self-Organized Critical learning networks
Anjan Roy, Serena Di Santo, Matteo Marsili
Information processing networks are the result of local rewiring rules. In many instances, such rules promote links where the activity at the two end nodes is positively correlated…