papers
Publications (3)
cs.LG2023
On the improvement of model-predictive controllers
L. Féret, A. Gepperth, S. Lambeck
This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an increased precision of the internal prediction model (PM) automatially entails an…
cs.LG2019
Catastrophic forgetting: still a problem for DNNs
B. Pfülb, A. Gepperth, S. Abdullah +1
We investigate the performance of DNNs when trained on class-incremental visual problems consisting of initial training, followed by retraining with added visual classes. Catastrop…
cs.LG2019
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
B. Pfülb, A. Gepperth
We present a large-scale empirical study of catastrophic forgetting (CF) in modern Deep Neural Network (DNN) models that perform sequential (or: incremental) learning. A new experi…