Currently, I am working as a senior Machine Learning Engineer at inovex. Previously, I was a research assistant and freelance Deep Learning consultant in automotive industry for Virtual Vehicle.
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 "Identification and classification of spoken language in audio files" – Benedikt Augenstein
- Master Thesis "Entity Matching by means of Contrastive Learning" – Pia Schmidt
- Master Thesis "Autodecoder for 3D surface completion from deficient 3D scans" – Robin Baumann
- Master Thesis "Vehicle position estimation with dynamic vision sensor" – Armin Baur