no code implementations • 3 Dec 2020 • Mihaela Dimovska, Donatello Materassi
We formalize a variant of faithfulness for dynamic systems, called Granger-faithfulness, and for a large class of dynamic networks, we show that Granger-unfaithful systems constitute a Lebesgue zero-measure set.
no code implementations • 5 Mar 2020 • Mihaela Dimovska, Donatello Materassi
However, in many practical scenarios, strictly causal models are not adequate to describe the system and it is necessary to consider models with dynamics that include direct feedthrough terms.
no code implementations • NeurIPS 2019 • Firoozeh Sepehr, Donatello Materassi
In this article, we develop an algorithm to exactly recover graphical models of random variables with underlying polytree structures when the latent nodes satisfy specific degree conditions.
no code implementations • 27 Sep 2018 • Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Misha Chertkov, Murti V. Salapaka
Learning influence pathways of a network of dynamically related processes from observations is of considerable importance in many disciplines.
no code implementations • 29 Sep 2017 • Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, Donatello Materassi, Murti V. Salapaka
In this article, we present a method to learn the interaction topology of a network of agents undergoing linear consensus updates in a non invasive manner.
no code implementations • 2 Mar 2017 • Saurav Talukdar, Deepjyoti Deka, Donatello Materassi, Murti V. Salapaka
In this article we present a method to reconstruct the interconnectedness of dynamically related stochastic processes, where the interactions are bi-directional and the underlying topology is a tree.