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Every first Tuesday of the month, the Palaisien seminar brings together Saclay's vast research community to discuss statistics and machine learning.

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.