14 citations · 21 across the 3 of their papers we have counts for
4 papers
Low-power, Energy-efficient, Cardiologist-level Atrial Fibrillation Detection for Wearable Devices
Dominik Loroch, Johannes Feldmann, Vladimir Rybalkin +1
Atrial fibrillation (AF) is a common arrhythmia and major risk factor for cardiovascular complications. While commercially available devices and supporting Artificial Intelligence…
HALF: Holistic Auto Machine Learning for FPGAs
Jonas Ney, Dominik Loroch, Vladimir Rybalkin +3
Deep Neural Networks (DNNs) are capable of solving complex problems in domains related to embedded systems, such as image and natural language processing. To efficiently implement…
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn +1
Deep learning is finding its way into the embedded world with applications such as autonomous driving, smart sensors and aug- mented reality. However, the computation of deep neura…
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
Dominik Marek Loroch, Norbert Wehn, Franz-Josef Pfreundt +1
Recent research implies that training and inference of deep neural networks (DNN) can be computed with low precision numerical representations of the training/test data, weights an…