Dr. Jakub Tomczak

I am an assistant professor (UD) in the Computational Intelligence Group (Department of Computer Science) at the Vrije Universiteit Amsterdam (VU). In my research, I am mainly interested in probabilistic modeling such as Variational Auto-Encoders and Flow-based models for image processing. Moreover, my research focuses on approximate Bayesian inference, and inference/optimization with simulators, with applications to sensory data processing, systems biology, and adaptive systems.

Roles in Hybrid Intelligence: Participant

Hybrid Intelligence Research Lines: Adaptive HI

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Hybrid Intelligence Projects:

• 10. Continual learning and deep generative modeling for adaptive systems, supervisor: dr. Jakub Tomczak (VU), co-supervisor: prof. Max Welling (UvA)
• 13. Monitoring and constraining adaptive systems, supervisor: dr. Silja Renooij (UU), co-supervisor: dr. Jakub Tomczak (VU)

Research interests: Probabilistic modeling, generative modeling, approximate Bayesian inference, deep learning.

Affiliations:

• Vrije Universiteit Amsterdam (VU)

More information:https://jmtomczak.github.io/