21 citations · 39 across the 4 of their papers we have counts for
4 papers
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
Sanaullah, Kaushik Roy, Ulrich Rückert +1
In this article, we propose a novel standalone hybrid Spiking-Convolutional Neural Network (SC-NN) model and test on using image inpainting tasks. Our approach uses the unique capa…
Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
Sanaullah, Shamini Koravuna, Ulrich Rückert +1
With the motivation and the difficulties that currently exist in comprehending and utilizing the promising features of SNNs, we proposed a novel run-time multi-core architecture-ba…
VEDLIoT: Very Efficient Deep Learning in IoT
Martin Kaiser, Rene Griessl, Nils Kucza +33
The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also deali…
A Unifying View of Multiple Kernel Learning
Marius Kloft, Ulrich Rückert, Peter L. Bartlett
Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for…