A temporal extension of TabDDPM generates coherent synthetic time-series sequences on the WISDM dataset that match real distributions and support downstream classification with macro F1 of 0.64.
”Time-series Generative Adver- sarial Networks”.https://proceedings.neurips.cc/paper_files/paper/2019/file/ c9efe5f26cd17ba6216bbe2a7d26d490-Paper.pdf
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Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
A temporal extension of TabDDPM generates coherent synthetic time-series sequences on the WISDM dataset that match real distributions and support downstream classification with macro F1 of 0.64.