Andrei Buciulea

According to our database, Andrei Buciulea authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Graph signal aware decomposition of dynamic networks via latent graphs.

Bishwadeep Das, Andrei Buciulea, Antonio G. Marques, Elvin Isufi

CoRR, June, 2025

Polynomial Graphical Lasso: Learning Edges From Gaussian Graph-Stationary Signals.

Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar

IEEE Trans. Signal Process., 2025

Online Network Inference from Graph-Stationary Signals with Hidden Nodes.

Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Joint Network Topology Inference in the Presence of Hidden Nodes.

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

IEEE Trans. Signal Process., 2024

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior.

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach.

Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Learning Graphs and Simplicial Complexes from Data.

Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating Subpopulation Bias for Fair Network Topology Inference.

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Graph Learning from Gaussian and Stationary Graph Signals.

Andrei Buciulea, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables.

Andrei Buciulea, Samuel Rey, Antonio G. Marques

IEEE Trans. Signal Inf. Process. over Networks, 2022

Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals.

Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2019

Network Reconstruction from Graph-stationary Signals with Hidden Variables.

Andrei Buciulea, Samuel Rey, Cristóbal Cabrera, Antonio G. Marques

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019