• [Jun 5, 2019] New preprint: Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision [arXiv] [code] [video] [project].

  • [May 18, 2019] I will present our extended abstract on ensembling as approximate Bayesian inference at SSDL19, June 10 [slides].

  • [Apr 25, 2019] I have posted the first part in a short series of blog posts on how to get started with PyTorch and deep learning.

  • [Nov 24, 2018] I was awarded the Tryggve Holm medal for “outstanding student achievements” during my time at Linköping University.

  • [Sep 28, 2018] New project: PyTorch implementation of DeepLabV3, see GitHub repository and Youtube video for further details.

  • [Sep 21, 2018] The code for 3D object detection used in my MSc thesis has been uploaded to GitHub.

  • [Sep 20, 2018] I have created a GitHub repository for posting summaries of interesting papers that I read.

  • [Sep 13, 2018] I have joined the group of Prof. Thomas Schön as a PhD student to work on uncertainty-aware deep learning.

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