Artificial intelligence is a transformative field focused on developing algorithms and models that enable machines to perform tasks typically requiring human intelligence. We integrate AI into all research areas pursued within the institute, specializing in machine learning, natural language processing, knowledge representation, econometrics, and computer vision.
Selected Projects
Advanced Neural Representations for Image Reconstruction
We develop a new generation of AI methods for image reconstruction from incomplete or degraded data. Our work tackles scenarios where a raw input (e.g. a camera’s Bayer sensor pattern) must be converted into a full-color, sharp image.
This research aims to develop a rational theory of dynamic decision-making under uncertainty, providing a solid foundation for enhancing decision-making processes in both human and technological agents.
Taming the Tail Risks in Markets with Data-Driven Methods
We focus on the development of new methods that make possible identification of tail risks in financial markets from possibly large datasets using data-driven method.
