Teaching unit 4: Bayesian imaging methods

Lecturer: Prof. Marcelo Pereyra

We could start from a suitably introductory level which we would tailor to these specific cohort of PhD students, and then go quickly towards modern techniques based on diffusion processes and machine learning, which I would illustrate on challenges inferences such as uncertainty quantification, hypothesis testing, model self-calibration, model selection without ground truth, etc.