80 citations · 179 across the 16 of their papers we have counts for
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cs.LG2022★ 1 cited
Beyond Supervised Continual Learning: a Review
Benedikt Bagus, Alexander Gepperth, Timothée Lesort
Continual Learning (CL, sometimes also termed incremental learning) is a flavor of machine learning where the usual assumption of stationary data distribution is relaxed or omitted…
cs.LG2022★ 6 cited
A Study of Continual Learning Methods for Q-Learning
Benedikt Bagus, Alexander Gepperth
We present an empirical study on the use of continual learning (CL) methods in a reinforcement learning (RL) scenario, which, to the best of our knowledge, has not been described b…
cs.LG2022
A new perspective on probabilistic image modeling
Alexander Gepperth
We present the Deep Convolutional Gaussian Mixture Model (DCGMM), a new probabilistic approach for image modeling capable of density estimation, sampling and tractable inference. D…