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ORCIDMadeline Navarro
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2020 – today
- 2024
[j3]Madeline Navarro
, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra:
Joint Network Topology Inference in the Presence of Hidden Nodes. IEEE Trans. Signal Process. 72: 2710-2725 (2024)- [c9]Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra:
Mitigating Subpopulation Bias for Fair Network Topology Inference. EUSIPCO 2024: 822-826 - [c8]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. ICASSP 2024: 7350-7354 - [c7]Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Recovering Missing Node Features with Local Structure-Based Embeddings. ICASSP 2024: 9931-9935 - [c6]Madeline Navarro, Santiago Segarra:
SC-MAD: Mixtures of Higher-Order Networks for Data Augmentation. ICASSP 2024: 13446-13450 - [i16]Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra:
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior. CoRR abs/2406.09513 (2024) - [i15]Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi:
Fair CoVariance Neural Networks. CoRR abs/2409.08558 (2024) - [i14]Samuel Rey, Madeline Navarro, Victor M. Tenorio, Santiago Segarra, Antonio G. Marques:
Redesigning graph filter-based GNNs to relax the homophily assumption. CoRR abs/2409.08676 (2024) - [i13]Andrei Buciulea, Madeline Navarro, Samuel Rey, Santiago Segarra, Antonio G. Marques:
Online Network Inference from Graph-Stationary Signals with Hidden Nodes. CoRR abs/2409.08760 (2024) - [i12]Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra:
Low-Rank Tensors for Multi-Dimensional Markov Models. CoRR abs/2411.02098 (2024) - [i11]Lisa O'Bryan, Madeline Navarro, Juan Segundo Hevia, Santiago Segarra:
ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns. CoRR abs/2411.15405 (2024) - 2023
- [c5]Madeline Navarro, Santiago Segarra:
Graphmad: Graph Mixup for Data Augmentation Using Data-Driven Convex Clustering. ICASSP 2023: 1-5 - [i10]Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra:
Data Augmentation via Subgroup Mixup for Improving Fairness. CoRR abs/2309.07110 (2023) - [i9]Madeline Navarro, Santiago Segarra:
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation. CoRR abs/2309.07453 (2023) - [i8]Victor M. Tenorio, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Recovering Missing Node Features with Local Structure-based Embeddings. CoRR abs/2309.09068 (2023) - 2022
- [j2]Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra:
Joint Inference of Multiple Graphs from Matrix Polynomials. J. Mach. Learn. Res. 23: 76:1-76:35 (2022) - [j1]Madeline Navarro, Santiago Segarra:
Joint Network Topology Inference Via a Shared Graphon Model. IEEE Trans. Signal Process. 70: 5549-5563 (2022) - [c4]Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques:
Joint graph learning from Gaussian observations in the presence of hidden nodes. IEEECONF 2022: 53-57 - [c3]Madeline Navarro, Santiago Segarra:
Graphon-Aided Joint Estimation of Multiple Graphs. ICASSP 2022: 5458-5462 - [c2]Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals. ICASSP 2022: 5817-5821 - [i7]Madeline Navarro, Santiago Segarra:
Graphon-aided Joint Estimation of Multiple Graphs. CoRR abs/2202.05686 (2022) - [i6]Madeline Navarro, Santiago Segarra:
Joint Network Topology Inference via a Shared Graphon Model. CoRR abs/2209.08223 (2022) - [i5]Madeline Navarro, Santiago Segarra:
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering. CoRR abs/2210.15721 (2022) - [i4]Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques:
Joint graph learning from Gaussian observations in the presence of hidden nodes. CoRR abs/2212.01816 (2022) - 2021
- [c1]T. Mitchell Roddenberry, Madeline Navarro, Santiago Segarra:
Network Topology Inference with Graphon Spectral Penalties. ICASSP 2021: 5390-5394 - [i3]Samuel Rey, Andrei Buciulea, Madeline Navarro, Santiago Segarra, Antonio G. Marques:
Joint inference of multiple graphs with hidden variables from stationary graph signals. CoRR abs/2110.03666 (2021) - [i2]Madeline Navarro, Genevera I. Allen, Michael Weylandt:
Network Clustering for Latent State and Changepoint Detection. CoRR abs/2111.01273 (2021) - 2020
- [i1]Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra:
Joint Inference of Multiple Graphs from Matrix Polynomials. CoRR abs/2010.08120 (2020)
Coauthor Index
aka: Antonio G. Marques
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