175 citations · 201 across the 6 of their papers we have counts for
Showing 2020Show all
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cs.NE2020★ 13 cited
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
Richard Meyes, Constantin Waubert de Puiseau, Andres Posada-Moreno +1
The need for more transparency of the decision-making processes in artificial neural networks steadily increases driven by their applications in safety critical and ethically chall…
cs.LG2020★ 1 cited
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Richard Meyes, Moritz Schneider, Tobias Meisen
The demand for more transparency of decision-making processes of deep reinforcement learning agents is greater than ever, due to their increased use in safety critical and ethicall…