3 citations · 5 across the 3 of their papers we have counts for
6 papers
Testing for directed information graphs
Sina Molavipour, Germán Bassi, Mikael Skoglund
In this paper, we study a hypothesis test to determine the underlying directed graph structure of nodes in a network, where the nodes represent random processes and the direction o…
Causality Graph of Vehicular Traffic Flow
Sina Molavipour, Germán Bassi, Mladen Čičić +2
In an intelligent transportation system, the effects and relations of traffic flow at different points in a network are valuable features which can be exploited for control system…
On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm
Borja Rodríguez-Gálvez, Germán Bassi, Ragnar Thobaben +1
In this work, we unify several expected generalization error bounds based on random subsets using the framework developed by Hellström and Durisi [1]. First, we recover the bounds…
Secure Strong Coordination
Giulia Cervia, German Bassi, Mikael Skoglund
We consider a network of two nodes separated by a noisy channel, in which the source and its reconstruction have to be strongly coordinated, while simultaneously satisfying the str…
Conditional Mutual Information Neural Estimator
Sina Molavipour, Germán Bassi, Mikael Skoglund
Several recent works in communication systems have proposed to leverage the power of neural networks in the design of encoders and decoders. In this approach, these blocks can be t…
Non-Asymptotic Behavior of the Maximum Likelihood Estimate of a Discrete Distribution
Sina Molavipour, Germán Bassi, Mikael Skoglund
In this paper, we study the maximum likelihood estimate of the probability mass function (pmf) of independent and identically distributed (i.i.d.) random variables, in the non-…