Th. Beroud

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

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…