2 citations · 2 across the 3 of their papers we have counts for
3 papers
PETNet -- Coincident Particle Event Detection using Spiking Neural Networks
Jan Debus, Charlotte Debus, Günther Dissertori +1
Spiking neural networks (SNN) hold the promise of being a more biologically plausible, low-energy alternative to conventional artificial neural networks. Their time-variant nature…
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
Katharina Flügel, Daniel Coquelin, Marie Weiel +3
The gradients used to train neural networks are typically computed using backpropagation. While an efficient way to obtain exact gradients, backpropagation is computationally expen…
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning
Daniel Coquelin, Katherina Flügel, Marie Weiel +5
Communication bottlenecks severely hinder the scalability of distributed neural network training, particularly in high-performance computing (HPC) environments. We introduce AB-tra…