- Bayesian system identification in general. More experience with (i) Bayesian factor analysis and linear dimensionality reduction, (ii) Generalized AutoRegressive models, (iii) Forgetting technique.
- Variational Bayes approximation in general.
- Stochastic control and approximation of dynamic programming.
Our Ph.D. student and a two-time poster session winner Maria Rigaki shares her secret tips.
We are coordinating a major Horizon Europe project in fair artificial intelligence. Ethical aspects of AI systems lie at the center of the project which aims to develop explainable and transparent AI algorithms.
Apple AirTags and other location-tracking devices are a useful tool when it comes to locating misplaced items or even missing people. But in the hands of stalkers or criminals, these can be weaponized. How can we maintain privacy standards and guarantee fairness? Our AI algorithms offer solutions.