Séminaire DKM - Hankel Matrix & Weighted Automata: From spectral Learning to Spectral Distillation

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Ending on
IRISA Rennes
Petri Turing et en ligne
Remy Eyraud

This talk focuses on the Hankel matrix and Weighted Automata. After introducing these two notions and the main algorithm that links them, I will detail the spectral learning algorithm, a machine learning approach that comes with theoretical guarantees and interesting practical results. Extensions will be discussed with a particular insight on the extraction of weighted automata from any black box trained on (categorial) sequential data. If time allows it, a use case of an easy to use toolbox will be shown.