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.
This article is a short follow-up on my initial collection of examples for getting started with Torch. In the meanwhile, through a series of additional articles, the corresponding GitHub repository has grown, including not only basic examples but also more advanced examples such as variational auto-encoders, generative adversarial networks or adversarial auto encoders. This article aims to provide a short overview of the added examples.