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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Marcus Rüb
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Deep Learning in Resource and Data Constrained Edge Computing Systems
Published in Machine Learning for Cyber Physical Systems, 2021
Recommended citation: P Sharma, M Rüb, D Gaida, H Lutz, A Sikora. (2021). "Deep Learning in Resource and Data Constrained Edge Computing Systems." Machine Learning for Cyber Physical Systems. https://library.oapen.org/bitstream/handle/20.500.12657/46102/2021_Book_MachineLearningForCyberPhysica.pdf?sequence=1#page=47
A Practical View on Training Neural Networks in the Edge
Published in Part of special issue: 17th IFAC Conference on Programmable Devices and Embedded Systems PDES 2022 — Sarajevo, Bosnia and Herzegovina, 17-19 May 2022, 2022
Recommended citation: M Rüb, A Sikora. (2022). "A Practical View on Training Neural Networks in the Edge." 17th IFAC Conference on Programmable Devices and Embedded Systems PDES 2022. https://www.sciencedirect.com/science/article/pii/S2405896322003603#!
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Introduction to optimization algorithms to compress neural networks
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Deep neural networks enable state-of-the-art accuracy in visual recognition tasks such as image classification and object recognition. However, modern networks contain millions of learned connections, and the current trend is toward deeper and more tightly connected architectures. This poses a challenge for the deployment of advanced networks on resource-constrained systems such as smartphones or mobile applications. To make neural networks on embedded devices more usable, there are different techniques to compress the models. In this Talk the most common compression algorithms will be presented and their functionality explained. Among the techniques presented will be pruning, quantization and others.
teaching
Introduction to Deep learning
Undergraduate course, Furtwangen University, Mechanical and Medical Engineering, 2014
This is a description of a teaching experience. You can use markdown like any other post.
AI-Trainer
Teaching SMEs, Hahn-Schickard, Artificial intelligence, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Introduction to TinyML
Lecture, Furtwangen University, Mechanical and Medical Engineering, 2015
This is a description of a teaching experience. You can use markdown like any other post.