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Marc Senneret

2 accepted papers

2023

Wassertein Gan Synthesis for Time Series with Complex Temporal Dynamics: Frugal Architectures and Arbitrary Sample-Size Generation

ICASSP 2023accepted

Generating surrogate data using Deep Neural Network (DNN) has become a classic task in image processing, while DNN time series synthesis is less often considered. The present work addresses issues related to the DNN synthesis of time series, with complex, scalefree time nonreversible temporal dynami…

Cited by 0SourceScholar
2020

Deep Learning Abilities to Classify Intricate Variations in Temporal Dynamics of Multivariate Time Series

ICASSP 2020accepted

The aim of this work is to investigate the ability of deep learning (DL) architectures to learn temporal dynamics in multivariate time series. The methodology consists in using well known synthetic stochastic processes for which changes in joint temporal dynamics can be controlled. This permits to c…

Cited by 0SourceScholar