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of extensive-form games. These studies highlighted the effectiveness of combining tools from graph theory, mathematical programming, and dynamic programming to compute pure Nash equilibria in extensive-form
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the ANR. PhD student in Graph Signal Processing for the Characterization of Multipolar Electrograms of Persistent Atrial Fibrillation. Responsible for a significant proportion of brain strokes, atrial
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graph neural networks). Finally, as initiated in [4], a stronger adversary model can also be defined and studied whereby the active adversary who wishes to harm the model is aware of the underlying
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