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Research team

Adaptive and Interpretable Learning Systems

About this team

Team information

In this research lab, we are researching interpretable and adaptive machine learning methods (i.e. models and algorithms). We focus on methods that represent calibrated uncertainties and have formal properties or  guarantees. We want to develop learning systems that can transfer knowledge, learn continually with new data and dataset shift, and produce insight.

Research funding bodies

  • The Knowledge Foundation