Madeline Navarro

42 papers A* 1Misc 12Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fair Feature Importance Scores via Feature Occlusion and Permutation. CoRR Camille Olivia Little, Madeline Navarro, Santiago Segarra, Genevera I. Allen
2025	J	`jnl`	Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2025	J	`jnl`	Adaptive Graph Coarsening for Efficient GNN Training. CoRR Rostyslav Olshevskyi, Madeline Navarro, Santiago Segarra
2025	J	`jnl`	Adaptive Node Feature Selection For Graph Neural Networks. CoRR Ali Azizpour, Madeline Navarro, Santiago Segarra
2025	Misc	`conf`	Bayesian Filtering on Graphs. ICASSP Bishwadeep Das, Madeline Navarro, Santiago Segarra, Elvin Isufi
2025	J	`jnl`	Estimating Fair Graphs from Graph-Stationary Data. CoRR Madeline Navarro, Andrei Buciulea, Samuel Rey, Antonio G. Marques, Santiago Segarra
2025	Misc	`conf`	Fair CoVariance Neural Networks. ICASSP Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi
2025	J	`jnl`	Learning Time-Varying Turn-Taking Behavior in Group Conversations. CoRR Madeline Navarro, Lisa O'Bryan, Santiago Segarra
2025	Misc	`conf`	Low-Rank Tensors for Multi-Dimensional Markov Models. ICASSP Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra
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	Misc	`conf`	Redesigning graph filter-based GNNs to relax the homophily assumption. ICASSP Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2024	Misc	`conf`	Data Augmentation via Subgroup Mixup for Improving Fairness. ICASSP Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra
2024	J	`jnl`	Fair CoVariance Neural Networks. CoRR Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi
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	J	`jnl`	Low-Rank Tensors for Multi-Dimensional Markov Models. CoRR Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra
2024	J	`jnl`	ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns. CoRR Lisa O'Bryan, Madeline Navarro, Juan Segundo Hevia, Santiago Segarra
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	Misc	`conf`	Recovering Missing Node Features with Local Structure-Based Embeddings. ICASSP Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Redesigning graph filter-based GNNs to relax the homophily assumption. CoRR Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques
2024	Misc	`conf`	SC-MAD: Mixtures of Higher-Order Networks for Data Augmentation. ICASSP Madeline Navarro, Santiago Segarra
2024	—	`conf`	Structure-Guided Input Graph for GNNs Facing Heterophily. IEEECONF Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2024	J	`jnl`	Structure-Guided Input Graph for GNNs facing Heterophily. CoRR Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques
2023	J	`jnl`	Data Augmentation via Subgroup Mixup for Improving Fairness. CoRR Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra
2023	Misc	`conf`	Graphmad: Graph Mixup for Data Augmentation Using Data-Driven Convex Clustering. ICASSP Madeline Navarro, Santiago Segarra
2023	J	`jnl`	Recovering Missing Node Features with Local Structure-based Embeddings. CoRR Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques
2023	J	`jnl`	SC-MAD: Mixtures of Higher-order Networks for Data Augmentation. CoRR Madeline Navarro, Santiago Segarra
2022	J	`jnl`	GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering. CoRR Madeline Navarro, Santiago Segarra
2022	Misc	`conf`	Graphon-Aided Joint Estimation of Multiple Graphs. ICASSP Madeline Navarro, Santiago Segarra
2022	J	`jnl`	Graphon-aided Joint Estimation of Multiple Graphs. CoRR Madeline Navarro, Santiago Segarra
2022	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
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	J	`jnl`	Joint Network Topology Inference Via a Shared Graphon Model. IEEE Trans. Signal Process. Madeline Navarro, Santiago Segarra
2022	J	`jnl`	Joint Network Topology Inference via a Shared Graphon Model. CoRR Madeline Navarro, Santiago Segarra
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
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
2021	J	`jnl`	Network Clustering for Latent State and Changepoint Detection. CoRR Madeline Navarro, Genevera I. Allen, Michael Weylandt
2021	Misc	`conf`	Network Topology Inference with Graphon Spectral Penalties. ICASSP T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra
2020	J	`jnl`	Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra