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ENTITY TimeGAN

TimeGAN

PulseAugur coverage of TimeGAN — every cluster mentioning TimeGAN across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_133539 ·

    New L-GTA model enhances time series data augmentation

    Researchers have developed L-GTA, a novel latent generative model for time series data augmentation. This model, built on a Variational Autoencoder with a Bi-LSTM backbone and temporal self-attention, learns latent repr…

  2. RESEARCH · CL_11731 ·

    New MCMC framework enhances time series generation by preserving temporal dynamics

    Researchers have developed a new framework using Markov Chain Monte Carlo (MCMC) methods to improve the generation of synthetic time-series data. Existing generative models often fail to preserve the temporal dynamics p…