Lukas Mauch

A new approach for supervised power disaggregation by using a deep recurrent LSTM network

Lukas Mauch, Bin Yang · 2015 · 203 citations

Engineering, Machine Learning, Energy Efficiency +17

Automated reference-free detection of motion artifacts in magnetic resonance images

Thomas Küstner, Annika Liebgott, Lukas Mauch et al. · Magnetic Resonance Materials in Physics Biology and Medicine · 2017 · 103 citations

Motion Detection, Image Analysis, Machine Vision +14

Automated Detection of Solar Cell Defects with Deep Learning

Alexander Bartler, Lukas Mauch, Bin Yang et al. · 2018 · 98 citations

Renewable Energies, Data Augmentation, Image Classification +14

A novel DNN-HMM-based approach for extracting single loads from aggregate power signals

Lukas Mauch, Bin Yang · 2016 · 63 citations

Source Separation, Power Engineering, Machine Learning +19

Mixed Precision DNNs: All you need is a good parametrization

Stefan Uhlich, Lukas Mauch, Fabien Cardinaux et al. · arXiv (Cornell University) · 2019 · 51 citations · Full text

Artificial Intelligence, Good Parametrization, Convolutional Neural Network +16