
The Information Complexity of Learning Tasks, their Structure and their Distance
We introduce an asymmetric distance in the space of learning tasks, and ...
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Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation
Previous work has shown that it is possible to train neuronal cultures o...
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MumfordShah functionals on graphs and their asymptotics
We consider adaptations of the MumfordShah functional to graphs. These ...
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Phase Diagram of Restricted Boltzmann Machines and Generalised Hopfield Networks with Arbitrary Priors
Restricted Boltzmann Machines are described by the Gibbs measure of a bi...
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A dynamic network model with persistent links and nodespecific latent variables, with an application to the interbank market
We propose a dynamic network model where two mechanisms control the prob...
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A General Class of ScoreDriven Smoothers
Motivated by the observation that scoredriven models can be viewed as a...
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Cashtag piggybacking: uncovering spam and bot activity in stock microblogs on Twitter
Microblogs are increasingly exploited for predicting prices and traded v...
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Overlap Algebras: a constructive look at complete Boolean algebras
The notion of a complete Boolean algebra, although completely legitimate...
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Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)
Over the years, there has been growing interest in using Machine Learnin...
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ScoreDriven Exponential Random Graphs: A New Class of TimeVarying Parameter Models for Dynamical Networks
Motivated by the evidence that realworld networks evolve in time and ma...
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Bayesian nonparametric graphical models for timevarying parameters VAR
Over the last decade, big data have poured into econometrics, demanding ...
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A numerical approach to Kolmogorov equation in high dimension based on Gaussian analysis
For Kolmogorov equations associated to finite dimensional stochastic dif...
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Tail Granger causalities and where to find them: extreme risk spillovers vs. spurious linkages
Identifying risk spillovers in financial markets is of great importance ...
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Rational Krylov methods for fractional diffusion problems on graphs
In this paper we propose a method to compute the solution to the fractio...
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Testing identity of collections of quantum states: sample complexity analysis
We study the problem of testing identity of a collection of unknown quan...
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A causal learning framework for the analysis and interpretation of COVID19 clinical data
We present a workflow for clinical data analysis that relies on Bayesian...
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Understanding peacefulness through the world news
Peacefulness is a principal dimension of wellbeing for all humankind an...
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Scuola Normale Superiore
It ranks first in Italy in the PCP parameter of the "Academic Ranking of World Universities", second among Italian universities in the "Times Higher Education World University Rankings 2019", and first in Italy in the Teaching parameter.