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PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders
Forecasting time series accurately is critical for applications with complex data ranging from energy systems to healthcare and finance. Among current state of the art models, generative latent variable models are increasingly implemented; yet principled generalisation guarantees for modern latent v
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