Smart wearables for the next generation of footballers

The football world is looking ahead to the 2026 World Cup—and to the technologies that will shape the future of the sport.

Research

Model-based Systems Engineering

Hands-on workshop for a successful introduction to MBSE – Reducing complexity and streamlining development processes.

Focus topics

Working together to shape safe AI

Seeking SME partners: Artificial intelligence that thinks for itself and acts safely—join fortiss in researching the next generation of AI assistants.

Services

Scientific publications

Authors

Maximilian Sölch

Publications

Export list as BibTeX file

2016 Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl , Maximilian Sölch , Justin Bayer and Patrick van der Smagt arxiv, ():, 2016. Details URL BIB
2016 Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series Maximilian Sölch , Justin Bayer , Marvin Ludersdorfer and Patrick van der Smagt In International Conference on Learning Representations (ICLR), 2016. Details URL BIB

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