97 citations · 110 across the 3 of their papers we have counts for
3 papers
Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition
Somayeh Hussaini, Michael Milford, Tobias Fischer
Spiking neural networks have significant potential utility in robotics due to their high energy efficiency on specialized hardware, but proof-of-concept implementations have not ye…
Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data
Idan Shilon, Manuel Kraus, Matthias Büchele +7
Ground based gamma-ray observations with Imaging Atmospheric Cherenkov Telescopes (IACTs) play a significant role in the discovery of very high energy (E > 100 GeV) gamma-ray emitt…
Probing Convolutional Neural Networks for Event Reconstruction in γ-Ray Astronomy with Cherenkov Telescopes
Tim Lukas Holch, Idan Shilon, Matthias Büchele +7
A dramatic progress in the field of computer vision has been made in recent years by applying deep learning techniques. State-of-the-art performance in image recognition is thereby…