Currently, I am working as a Machine Learning Engineer at inovex. Previously, I was a research assistant and freelance Deep Learning consultant in automotive industry for Virtual Vehicle.
In 2021 I finished my PhD in the field of machine learning and computational neuroscience under supervision of Prof. Maass at the Institute for Theoretical Computer Science of the Graz University of Technology. There I have also received my master's and bachelor's degree in computer science.
I was an active member of a machine learning focused journal club and meetup group.
For current list of my publications, visit my google scholar page.
In a previous life, I was working as a full-stack (django) developer at Institute for Interactive Systems and Data Science (ISDS) and MYTHING.
Detailed resume available on request.
Activity
- [post] Similarity search and Deduplication at scale
- [post] Pruning and Sparsification of Neural Networks
- [talk] Deep Learning, Neuroscience and the future of AI @ Berlin Buzzwords [video]
- [post] All about Positional Encoding
- [post] How to migrate binary bloat out of git repository
- [talk] inovex 2020 TechDay: Brain-inspired AI [slides]
- [conference] Bernstein Conference of computational neuroscience 2020 [poster] [video]
- [summer school] AI-Enabled Mobility. Sep 2020
- [post] Corrupt, sparse, irregular and ugly: Deep learning on time series
- [paper] Spike-frequency adaptation provides a long short-term memory to networks of spiking neurons.bioRxiv. May 2020
- [paper] A solution to the learning dilemma for recurrent networks of spiking neurons.Nature Communications. July 2020
- [slides] Human Brain Project SP9 2018 workshop: introduction to LSNN
- [paper] Long short-term memory and learning-to-learn in networks of spiking neurons.NeurIPS. 2018
- [slides] Learning-2-Learn 2018 workshop: gradient free methods for training neural networks
![[poster]](/img/bernstein2020.png){kind=link}
Supervision
- Master Thesis "Autodecoder for 3D surface completion from deficient 3D scans" – Robin Baumann
- Master Thesis "Vehicle position estimation with dynamic vision sensor" – Armin Baur