3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.NE2022
A Trainable Sequence Learner that Learns and Recognizes Two-Input Sequence Patterns
Jan Hohenheim, Zhaoyu Devon Liu, Tommaso Stecconi +1
We present two designs for an analog circuit that can learn to detect a temporal sequence of two inputs. The training phase is done by feeding the circuit with the desired sequence…
cs.NE2022★ 3 cited
Combining Neuro-Evolution of Augmenting Topologies with Convolutional Neural Networks
Jan Hohenheim, Mathias Fischler, Sara Zarubica +1
Current deep convolutional networks are fixed in their topology. We explore the possibilites of making the convolutional topology a parameter itself by combining NeuroEvolution of…