vix.ing · top · new · best · stats · spec

Navarro, Madeline

  1. Joint Network Topology Inference in the Presence of Hidden Nodes
    2023/06/30 by Madeline Navarro, Navarro, Madeline, Samuel Rey +7 · 6 citations
    Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Distributed Sensor Networks and Detection Algorithms #FOS: Electrical engineering #Opinion Dynamics and Social Influence #Signal Processing (eess.SP) #electronic engineering #information engineering
  2. Joint Inference of Multiple Graphs from Matrix Polynomials
    2020/10/16 by Madeline Navarro, Yuhao Wang, Navarro, Madeline +7 · 3 citations
    Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Social and Information Networks (cs.SI) #electronic engineering #information engineering
  3. Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
    2024/06/13 by Navarro, Madeline, Rey, Samuel, Buciulea, Andrei +2 · 5 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
  4. GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering
    2022/10/27 by Madeline Navarro, Santiago Segarra, Navarro, Madeline +1 · 2 citations
    Computer Science · #Face and Expression Recognition #Domain Adaptation and Few-Shot Learning #Video Surveillance and Tracking Methods
  5. Network Topology Inference with Graphon Spectral Penalties
    2020/10/15 by Roddenberry, T. Mitchell, Navarro, Madeline, Segarra, Santiago · 1 citation
    #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
  6. Joint inference of multiple graphs with hidden variables from stationary graph signals
    2021/10/05 by Rey, Samuel, Buciulea, Andrei, Navarro, Madeline +2 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Social and Information Networks (cs.SI) #electronic engineering #information engineering
  7. Data Augmentation via Subgroup Mixup for Improving Fairness
    2023/09/13 by Navarro, Madeline, Little, Camille, Allen, Genevera I. +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Redesigning graph filter-based GNNs to relax the homophily assumption
    2024/09/13 by Rey, Samuel, Navarro, Madeline, Tenorio, Victor M. +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Fair CoVariance Neural Networks
    2024/09/13 by Andrea Cavallo, Madeline Navarro, Cavallo, Andrea +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery
    2025/06/10 by Víctor M. Tenorio, Tenorio, Victor M., Madeline Navarro +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Healthcare #Signal Processing (eess.SP) #electronic engineering #information engineering