Václav Šmídl

Research interests
- 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.
Latest Projects
Research Results
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Latest news

A landmark moment for artificial intelligence in Czechia unfolded at the Prague Planetarium with the official launch of the Czech AI Scene Map, an initiative by the Czech National AI Platform (CNAIP). This comprehensive map aims to be the definitive guide to the nation's burgeoning AI landscape. And we as Artificial Intelligence Center are part of it!


