4 citations · 4 across the 1 of their papers we have counts for
1 paper
Benedikt Pfülb, Alexander Gepperth, Benedikt Bagus
We present an approach for continual learning (CL) that is based on fully probabilistic (or generative) models of machine learning. In contrast to, e.g., GANs that are "generative"…