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, 1-9, 2018 | 132 | 2018 |
Latent weights do not exist: Rethinking binarized neural network optimization K Helwegen, J Widdicombe, L Geiger, Z Liu, KT Cheng, R Nusselder Advances in neural information processing systems 32, 2019 | 127 | 2019 |
Larq: An open-source library for training binarized neural networks L Geiger, P Team Journal of Open Source Software 5 (45), 1746, 2020 | 94 | 2020 |
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, ... Proceedings of Machine Learning and Systems 3, 680-695, 2021 | 41 | 2021 |
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 | 6 | 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 | 4 | 2019 |
iminuit: Jupyter-friendly Python interface for C++ MINUIT2 H Dembinski, P Ongmongkolkul, C Deil, D Menéndez Hurtado, ... Astrophysics Source Code Library, ascl: 2108.024, 2021 | 3 | 2021 |
Multi-layer neural network system and method KG Helwegen, TR Bannink, TD De Bruin, LS Geiger, ACS Hillier, ... US Patent 11,699,077, 2023 | | 2023 |
Contracting Alignment Patterns in the arrival directions of Ultra-High Energy Cosmic Rays induced by the Galactic Magnetic Field M Wirtz, M Erdmann, L Geiger, D Schmidt, M Urban Verhandlungen der Deutschen Physikalischen Gesellschaft, 2019 | | 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 | | 2018 |