[2020-12-24]
We have just opened up two postdoc positions in machine learning for materials disovery at AIICS/STIMA. Additional details are available here.
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[2020-12-03]
Wohoo! I recently got a grant accepted from the Swedish Reserach Council for the project Handling Uncertainty in Machine Learning. The project runs for 4 years.
[2020-10-28]
On Oct 28 my PhD student David Widmann successfully defended his licentiate’s thesis (= roughly half way to PhD), entitled Calibration of Probabilistic Predictive Models. The discussion was lead by Meelis Kull, University of Tartu.
[2020-10-07]
Congratulations to Johanna Rosén who has been granted 29 MSEK from the KAW foundation for The 2D-Materials Frontier. Together with co-applicant Fredrik Heintz I’m responsible for the machine learning part of the project, where we will use machine learning to aid the search for new and exciting 2D materials.
[2020-10-02]
Paper accepted for NeurIPS, together with Christian A Naesseth and David M Blei! We develop a method for optimizing the “inclusive” Kullback-Leibler divergence KL(p || q) in the context of variational inference by blending VI and MCMC. Check out the paper here.