Fuentes

In 2013, Benoit Fuentes obtained his doctorate at Télécom Paris on audio signal analysis for automatic music transcription and source separation. He then worked for six years at Smart Impulse, a company specialized in power consumption diagnostics to save on energy, where he developed source separation algorithms of electrical signals. Benoit Fuentes was a postdoctoral researcher in the S2A team of the LTCI lab at Télécom Paris from 2020 to 2021. He was developing a generic software tool for deep tensor factorizations and was also working on the underlying probability theory.

Key words: signal processing, source separation, tensor factorization, unsupervised learning, Bayesian inference algorithms.

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