The Bayesian Neural Network Group

This is a web-page for the group of students that will have master projects within Bayesian neural networks and their supervisors.

A general project description is available, but this will be specified further for each individual student.



Possible projects (we should include more relevant references here)

  • What does priors on weights imply for priors on observations? Possible to generalize the results from
  • Construction of better priors
  • Better variational inference approximations
    • Better uncertainty measures
  • More scalable MCMC methods
  • Making statistical interpretation of specific algorithms
  • Explainable models/methods
  • Specific methods towards image analysis
  • Specific methods towards inverse problems
  • Rock classification

Topics to be learned/papers to read

Published Jan. 15, 2020 8:29 AM - Last modified Feb. 20, 2020 11:48 AM