World Machine: Towards Generative World Modeling for Time-Series
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In three linesWorld Machine is a transformer-based generative world-modeling architecture with latent states for time series. It reduces the quadratic complexity of standard transformers and adapts to varying amounts of observed data. Validated on synthetic dataset Toy1D.Read source
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