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JHU Machine Learning Group JHU Machine Learning Group
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  • | AI-X at JHU

Health

JHU Machine Learning Group

René Vidal

Dept: Biomedical Engineering, Computer Science |  Centers: ICM, CIS, LCSR, MINDS Research interests: Manifold learning, manifold clustering, kernels for time series data, sparse representation, classification and clustering of high-dimensional datasets
  • February 7, 2022
  • Mark Dredze

Jeremias Sulam

Dept: Biomedical Engineering |  Centers: MINDS, CIS Research interests: Sparse recovery, dictionary learning, machine learning, signal processing, image processing
  • February 7, 2022
  • Mark Dredze

Ilya Shpitser

Dept: Computer Science |  Centers: MINDS Research interests: Causal discovery, mediation analysis, statistical and causal inference in graphical models
  • February 7, 2022
  • Mark Dredze

Suchi Saria

Dept: Computer Science, Health Policy and Management |  Centers: ICM, MINDS, CLSP Research interests: Graphical models, Bayesian models, time series modeling, non-parametric Bayes applications, hierarchical models, transfer learning
  • February 7, 2022
  • Mark Dredze

Mauro Maggioni

Dept: Mathematics, Applied Mathematics and Statistics |  Centers: IDIES, MINDS Research interests: Statistical learning, high-dimensional probability, spectral graph theory, stochastic dynamical systems, time series analysis, signal processing
  • February 7, 2022
  • Mark Dredze

Mark Dredze

Dept: Computer Science |  Centers: CLSP, HLTCOE Research interests: Bayesian models, topic models, online learning, transfer learning, semi-supervised learning, structured prediction Applications: Natural Language, Speech, Health
  • February 7, 2022
  • Mark Dredze

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