Search Results for author: Andrei Buciulea

Found 6 papers, 2 papers with code

Learning graphs and simplicial complexes from data

no code implementations16 Dec 2023 Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques

Graphs are widely used to represent complex information and signal domains with irregular support.

Joint Network Topology Inference in the Presence of Hidden Nodes

no code implementations30 Jun 2023 Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

We investigate the increasingly prominent task of jointly inferring multiple networks from nodal observations.

Graph Learning from Gaussian and Stationary Graph Signals

no code implementations13 Mar 2023 Andrei Buciulea, Antonio G. Marques

Graphs have become pervasive tools to represent information and datasets with irregular support.

Graph Learning

Joint graph learning from Gaussian observations in the presence of hidden nodes

1 code implementation4 Dec 2022 Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques

Motivated by this, we propose a joint graph learning method that takes into account the presence of hidden (latent) variables.

Graph Learning Graph Similarity

Joint inference of multiple graphs with hidden variables from stationary graph signals

1 code implementation5 Oct 2021 Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques

Learning graphs from sets of nodal observations represents a prominent problem formally known as graph topology inference.

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