Explainable & Safe AI
Farzaneh Heidari
PhD Student · Université de Montréal
Mila – Quebec AI Institute · Advised by Guillaume Rabusseau
Explainable and safe AI, through tensor networks and multilinear methods.
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The multilinear thread
Many objects we care about in machine learning — feature attributions, cooperative-game values, learned representations, quantum circuits — can be written as multilinear maps. Tensor networks give a compact, tractable handle on them, and that idea runs through my work on explainability and AI safety.
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