604 citations · 1.7k across the 67 of their papers we have counts for
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Efficient Empowerment
Maximilian Karl, Justin Bayer, Patrick van der Smagt
Empowerment quantifies the influence an agent has on its environment. This is formally achieved by the maximum of the expected KL-divergence between the distribution of the success…
Fast Adaptive Weight Noise
Justin Bayer, Maximilian Karl, Daniela Korhammer +1
Marginalising out uncertain quantities within the internal representations or parameters of neural networks is of central importance for a wide range of learning techniques, such a…
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg +6
Convolutional neural networks (CNNs) have recently been very successful in a variety of computer vision tasks, especially on those linked to recognition. Optical flow estimation ha…
A Neural Transfer Function for a Smooth and Differentiable Transition Between Additive and Multiplicative Interactions
Sebastian Urban, Patrick van der Smagt
Existing approaches to combine both additive and multiplicative neural units either use a fixed assignment of operations or require discrete optimization to determine what function…