SYSTEMS AND METHODS FOR IMPROVED MACHINE-LEARNED COMPRESSION

A computer-implemented method for compressing computer-readable data having improved efficiency can include obtaining, by a computing system including one or more computing devices, input data associated with the computing system; and encoding, by the computing system, the input data and added noise from a noisy channel to produce encoded data based at least in part on an encoder model, wherein encoding the input data and added noise includes additively combining the added noise and the input data to obtain noisy input data and rounding the noisy input data by a soft rounding function, the soft rounding function having a sharpness, to produce the encoded data, wherein the machine-learned encoder model is trained on training data, wherein the training data is encoded with the added noise from the noisy channel.