209 citations · 712 across the 26 of their papers we have counts for
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cs.CV2017
Learning to Label Affordances from Simulated and Real Data
Timo Lüddecke, Florentin Wörgötter
An autonomous robot should be able to evaluate the affordances that are offered by a given situation. Here we address this problem by designing a system that can densely predict af…
cs.LG2017★ 7 cited
Transfer entropy-based feedback improves performance in artificial neural networks
Sebastian Herzog, Christian Tetzlaff, Florentin Wörgötter
The structure of the majority of modern deep neural networks is characterized by uni- directional feed-forward connectivity across a very large number of layers. By contrast, the a…