IAM

DAVIDSTUTZ

I am looking for full-time (applied) research opportunities in industry, involving (trustworthy and robust) machine learning or (3D) computer vision, starting early 2022. Check out my CV and get in touch on LinkedIn!

ARCHIVEMONTHLY»NOVEMBER2019«

ARTICLE

A Short Introduction to Bayesian Neural Networks

With the rising success of deep neural networks, their reliability in terms of robustness (for example, against various kinds of adversarial examples) and confidence estimates becomes increasingly important. Bayesian neural networks promise to address these issues by directly modeling the uncertainty of the estimated network weights. In this article, I want to give a short introduction of training Bayesian neural networks, covering three recent approaches.

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ARTICLE

AI and Deep Learning at the 7th Heidelberg Laureate Forum 2019

The Heidelberg Laureate Forum brings together young researchers and laureates in computer science and mathematics. During lectures, workshops, panel discussions and social events, the forum fosters personal and scientific exchange with other young researchers as well as laureates. I was incredibly lucky to have the opportunity to participate in the 7th Heidelberg Laureate Forum 2019. In this article, I want to give a short overview of the forum and share some of my impressions.

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