Dominik Marek Loroch

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 7

Top Topics

Application Of Machine Learning Methods

Top Venues

DMLE/IOTSTREAMING@PKDD/ECML

Publications

Jonas Ney, Dominik Marek Loroch, Vladimir Rybalkin, Nico Weber, Jens Krüger, Norbert Wehn
HALF: Holistic Auto Machine Learning for FPGAs. FPL (2021)
Patrick Aichroth, Christoph Antes, Pierre Gembatzka, Holger Graf, David S. Johnson, Matthias Jung, Thomas Kämpfe, Thomas Kleinberger, Thomas Köllmer, Thomas Kuhn, Christoph Kutter, Jens Krüger, Dominik Marek Loroch, Hanna M. Lukashevich, Nellie Laleni, Lei Zhang, Johannes Leugering, Rodrigo Martín Fernández, Loreto Mateu, Shaown Mojumder, Benjamin Prautsch, Ferdinand Pscheidl, Karsten Roscher, Sören Schneickert, Frank Vanselow, Paul Wallbott, Oliver Walter, Nico Weber
SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper. SAMOS (2021)
Jonas Ney, Dominik Marek Loroch, Vladimir Rybalkin, Nico Weber, Jens Krüger, Norbert Wehn
HALF: Holistic Auto Machine Learning for FPGAs. CoRR (2021)
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. CoRR (2018)
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization. MLHPC@SC (2017)
Dominik Marek Loroch, Norbert Wehn, Franz-Josef Pfreundt, Janis Keuper
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization. CoRR (2017)