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This winter school brings together leading experts in causality and explainability - two key pilars of modern AI.

This fall school is dedicated to recent advances in the field of probabilistic machine learning. The school will feature several courses and presentations, covering various topics in machine learning: generative modeling, optimization, differential privacy, federated learning, conformal prediction and evasion attacks in AI.