Dr David Widmann for a well defended PhD thesis, Reliable Uncertainty Quantification in Statistical Learning!
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My warmest congratulations to News
TMLR paper
We got a paper published in TMLR on the connection between variational inference and generative flow networks.
Open postdoc positions
I’m looking for two postdocs to join us at the Division of Statistics and Machine Learning at Linköping University.
Update
Time for another (dry) update…
ICML paper accepted
Deep Gaussian Markov Random Fields, we – Joel Oskarsson, Per Sidén and I – got a paper accepted for the International Conference on Machine Learning (ICML). We generalize the method from lattice graphs to general graphs (turns out that it was not as straightforward as simply replacing the CNN with a GNN), propose a better variational approximation, and make the method scale to large graphs by efficient log-determinant approximations.
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Building on our previous work on