Physics for Inference and Optimization Group

The research goal of the Physics for Inference and Optimization group is understanding, optimizing and predicting relations between the microscopic and macroscopic properties of complex large-scale interacting systems. We pursue this agenda by addressing application-oriented problems of inference and optimization on networks via developing models and algorithms derived from statistical physics principles.