Andrei Buciulea

20 papers A* 1Misc 5Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimating Fair Graphs from Graph-Stationary Data.
CoRR
Madeline Navarro, Andrei Buciulea, Samuel Rey, Antonio G. Marques, Santiago Segarra
2025 J jnl
Graph signal aware decomposition of dynamic networks via latent graphs.
CoRR
Bishwadeep Das, Andrei Buciulea, Antonio G. Marques, Elvin Isufi
2025 Misc conf
Online Network Inference from Graph-Stationary Signals with Hidden Nodes.
ICASSP
Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025 J jnl
Polynomial Graphical Lasso: Learning Edges From Gaussian Graph-Stationary Signals.
IEEE Trans. Signal Process.
Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2024 A* conf
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior.
NeurIPS
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024 J jnl
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior.
CoRR
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024 J jnl
Joint Network Topology Inference in the Presence of Hidden Nodes.
IEEE Trans. Signal Process.
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024 Misc conf
Learning Graphs and Simplicial Complexes from Data.
ICASSP
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
2024 — conf
Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach.
SAM
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
2024 — conf
Mitigating Subpopulation Bias for Fair Network Topology Inference.
EUSIPCO
Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
2024 J jnl
Online Network Inference from Graph-Stationary Signals with Hidden Nodes.
CoRR
Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024 J jnl
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals.
CoRR
Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar
2023 Misc conf
Graph Learning from Gaussian and Stationary Graph Signals.
ICASSP
Andrei Buciulea, Antonio G. Marques
2023 J jnl
Learning graphs and simplicial complexes from data.
CoRR
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
2022 Misc conf
Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals.
ICASSP
Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2022 — conf
Joint graph learning from Gaussian observations in the presence of hidden nodes.
IEEECONF
Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022 J jnl
Joint graph learning from Gaussian observations in the presence of hidden nodes.
CoRR
Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques
2022 J jnl
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables.
IEEE Trans. Signal Inf. Process. over Networks
Andrei Buciulea, Samuel Rey, Antonio G. Marques
2021 J jnl
Joint inference of multiple graphs with hidden variables from stationary graph signals.
CoRR
Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2019 Misc conf
Network Reconstruction from Graph-stationary Signals with Hidden Variables.
ACSSC
Andrei Buciulea, Samuel Rey, Cristóbal Cabrera, Antonio G. Marques