Lukas Geiger
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Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks
M Erdmann, L Geiger, J Glombitza, D Schmidt
Computing and Software for Big Science 2 (1), 1-9, 2018
Latent weights do not exist: Rethinking binarized neural network optimization
K Helwegen, J Widdicombe, L Geiger, Z Liu, KT Cheng, R Nusselder
arXiv preprint arXiv:1906.02107, 2019
Larq: An open-source library for training binarized neural networks
L Geiger, P Team
Journal of Open Source Software 5 (45), 1746, 2020
Origins of extragalactic cosmic ray nuclei by contracting alignment patterns induced in the galactic magnetic field
M Erdmann, L Geiger, D Schmidt, M Urban, M Wirtz
Astroparticle Physics 108, 74-83, 2019
Evolution of the VISPA-project
M Erdmann, B Fischer, L Geiger, E Geiser, DDN Noll, YA Rath, M Rieger, ...
EPJ Web of Conferences 214, 05021, 2019
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
T Bannink, A Hillier, L Geiger, T de Bruin, L Overweel, J Neeven, ...
arXiv preprint arXiv:2011.09398, 2020
Contracting Alignment Patterns in the arrival directions of Ultra High Energy Cosmic Rays induced in the Galactic Magnetic Field
M Wirtz, M Erdmann, L Geiger, D Schmidt, M Urban
Verhandlungen der Deutschen Physikalischen Gesellschaft, 2019
Air Shower Reconstruction using Deep Convolutional Neural Networks at the Pierre Auger Observatory
J Glombitza, N Eich, M Erdmann, L Geiger
Verhandlungen der Deutschen Physikalischen Gesellschaft, 2018
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