Research interests
Research interests: AutoML, Landscape Analysis, Sequential Decision-Making, Research Software Engineering.
Per topic:
AutoML: neural architecture search [5,6,8], hyperparameter optimization [10].
Landscape analysis: benchmarking and search explainability [7,9,10].
Sequential decision-making: state representation learning [1,2], continual learning [3,4].
Research Software Engineering: state representation learning [RS1, RS1], Reinforcement Learning [RS3].
The list of references can be browsed when visiting the page Research portefolio.