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Who Drives the System? Classifying Mean-Field Particle Systems from Trajectory Data
We study the supervised classification problem for interacting particle systems (IPS) from trajectory observations. The IPS belongs to one of K classes, each characterized by a distinct interaction drift. Given a learning dataset, the goal is then to predict the class label of a newly observed syste
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