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Marco Cox

Marco Cox

Former PhD student

Former BIASlab Member

Marco Cox was a PhD candidate in the Electrical Engineering department of TU Eindhoven, working in the BIASlab team. His research focused on Bayesian machine learning techniques for optimization and signal processing. He is also interested in information theory, computer architecture, and combinatorics. Marco received the M.Sc. degree in electrical engineering from TU Eindhoven in 2014.

Interests
  • Bayesian machine learning
  • Information theory
  • Signal processing

Latest

  • Bayesian pure-tone audiometry through active learning under informed priors
  • A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms
  • ForneyLab.jl: Fast and flexible automated inference through message passing in Julia
  • ForneyLab: A Toolbox for Biologically Plausible Free Energy Minimization in Dynamic Neural Models
  • Robust Expectation Propagation in Factor Graphs Involving Both Continuous and Binary Variables
  • ForneyLab.jl: a Julia Toolbox for Factor Graph-based Probabilistic Programming
  • A Probabilistic Modeling Approach to One-Shot Gesture Recognition
  • A parametric approach to Bayesian optimization with pairwise comparisons
  • Variational Stabilized Linear Forgetting in State-Space Models
  • A Gaussian process mixture prior for hearing loss modeling
  • An In-situ Trainable Gesture Classifier
  • A Bayesian binary classification approach to pure tone audiometry

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