Data Reconstruction Using Machine-Learning Predictive Coding

USPTO published patent application US20260087314A1 titled 'Data Reconstruction Using Machine-Learning Predictive Coding.' The invention describes a method for generating reconstructed data samples corresponding to versions of first and second data samples in a time series, then providing these reconstructed samples as inputs to a neural network configured for machine-learning predictive coding. The network generates network-predicted data samples corresponding to predicted versions of particular data samples positioned between the first and second data samples. CPC classifications are G06N 3/0455 and G06N 3/044. Inventors are Guillaume Konrad Sautiere, Vivek Rajendran, and Zisis Iason Skordilis.

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