Madeline Navarro

According to our database, Madeline Navarro authored at least 11 papers between 2021 and 2023.

Collaborative distances:

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

2023

Recovering Missing Node Features with Local Structure-based Embeddings.

Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques

CoRR, 2023

SC-MAD: Mixtures of Higher-order Networks for Data Augmentation.

Madeline Navarro, Santiago Segarra

CoRR, 2023

Data Augmentation via Subgroup Mixup for Improving Fairness.

Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra

CoRR, 2023

Graphmad: Graph Mixup for Data Augmentation Using Data-Driven Convex Clustering.

Madeline Navarro, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Joint Network Topology Inference Via a Shared Graphon Model.

Madeline Navarro, Santiago Segarra

IEEE Trans. Signal Process., 2022

Joint Inference of Multiple Graphs from Matrix Polynomials.

Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra

J. Mach. Learn. Res., 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

Graphon-Aided Joint Estimation of Multiple Graphs.

Madeline Navarro, Santiago Segarra

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

2021

Network Clustering for Latent State and Changepoint Detection.

Madeline Navarro, Genevera I. Allen, Michael Weylandt

CoRR, 2021

Network Topology Inference with Graphon Spectral Penalties.

T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2021