Here, we demonstrate that predictive coding converges asymptotically (and in practice, rapidly) to exact backprop gradients on arbitrary computation graphs using only local learning rules. We apply ...

In this letter, we provide a theoretical analysis of optimal predictive transform coding based on the Gaussian Markov random field (GMRF) model. It is shown that the eigen-analysis of the precision ...

4.1. Experimental Settings. A 3-layer predictive coding network with ReLU non-linearity, where the number of the hidden nodes was 800 for the simple dataset such as MNIST (LeCun et al., 1998) and ...

This is evident by the increasing use of “predictive coding.” Predictive coding are the new e-discovery buzzwords. Articles about the benefits of predictive coding have appeared in Forbes magazine and ...

While the promise of predictive coding is alluring, many questions remain for corporations and law firms: Where does the software end and the importance of workflow begin? Are companies using it ...

Predictive coding is the electronic coding, organization, and prioritization of entire sets of electronically stored information (“ESI”) according to their relation to discovery responsiveness ...

The resulting graph transform degenerates to the well-known 2-D discrete cosine transform (DCT) for a particular 2-D first order GMRF, although it is not a unique optimal solution. Furthermore, we ...