| Unmasking deepfakes with simple features R Durall, M Keuper, FJ Pfreundt, J Keuper arXiv preprint arXiv:1911.00686, 2019 | 261 | 2019 |
| Distributed training of deep neural networks: Theoretical and practical limits of parallel scalability J Keuper, FJ Preundt 2016 2nd workshop on machine learning in HPC environments (MLHPC), 19-26, 2016 | 121 | 2016 |
| Integration-by-parts reductions of Feynman integrals using Singular and GPI-Space D Bendle, J Böhm, W Decker, A Georgoudis, FJ Pfreundt, M Rahn, ... Journal of High Energy Physics 2020 (2), 1-34, 2020 | 69 | 2020 |
| Hardware/software co-design for energy-efficient seismic modeling J Krueger, D Donofrio, J Shalf, M Mohiyuddin, S Williams, L Oliker, ... Proceedings of 2011 International Conference for High Performance Computing …, 2011 | 65 | 2011 |
| Spectraldefense: Detecting adversarial attacks on cnns in the fourier domain P Harder, FJ Pfreundt, M Keuper, J Keuper 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 52 | 2021 |
| Asynchronous parallel stochastic gradient descent: A numeric core for scalable distributed machine learning algorithms J Keuper, FJ Pfreundt Proceedings of the Workshop on Machine Learning in High-Performance …, 2015 | 47 | 2015 |
| Ad hoc file systems for high-performance computing A Brinkmann, K Mohror, W Yu, P Carns, T Cortes, SA Klasky, A Miranda, ... Journal of Computer Science and Technology 35, 4-26, 2020 | 44 | 2020 |
| InfiniBand Verbs on GPU: a case study of controlling an InfiniBand network device from the GPU L Oden, H Fröning The International Journal of High Performance Computing Applications 31 (4 …, 2017 | 44 | 2017 |
| Genlm: license management for grid and cloud computing environments M Dalheimer, FJ Pfreundt 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid …, 2009 | 43 | 2009 |
| Gaspi–a partitioned global address space programming interface T Alrutz, J Backhaus, T Brandes, V End, T Gerhold, A Geiger, ... Facing the Multicore-Challenge III: Aspects of New Paradigms and …, 2013 | 32 | 2013 |
| Agent-based grid scheduling with calana M Dalheimer, FJ Pfreundt, P Merz Parallel Processing and Applied Mathematics: 6th International Conference …, 2006 | 29 | 2006 |
| Tensorquant: A simulation toolbox for deep neural network quantization DM Loroch, FJ Pfreundt, N Wehn, J Keuper Proceedings of the Machine Learning on HPC Environments, 1-8, 2017 | 26 | 2017 |
| Unbalanced tree search on a manycore system using the GPI programming model R Machado, C Lojewski, S Abreu, FJ Pfreundt Computer Science-Research and Development 26, 229-236, 2011 | 25 | 2011 |
| Facing the Multicore-Challenge II: Aspects of New Paradigms and Technologies in Parallel Computing R Keller, D Kramer, JP Weiss Springer, 2012 | 22 | 2012 |
| Towards massively parallel computations in algebraic geometry J Böhm, W Decker, A Frühbis-Krüger, FJ Pfreundt, M Rahn, L Ristau Foundations of Computational Mathematics 21 (3), 767-806, 2021 | 20 | 2021 |
| On the efficiency of simulation methods for the Boltzmann equation on parallel computers J Struckmeier, FJ Pfreundt Parallel Computing 19 (1), 103-119, 1993 | 18 | 1993 |
| Unmasking deepfakes with simple features. arXiv 2019 R Durall, M Keuper, FJ Pfreundt, J Keuper arXiv preprint arXiv:1911.00686, 1911 | 18 | 1911 |
| Efficient ray tracing kernels for modern cpu architectures V Fuetterling, C Lojewski, FJ Pfreundt, A Ebert Journal of Computer Graphics Techniques (JCGT) 4 (4), 2015 | 16 | 2015 |
| Service‐oriented middleware for financial Monte Carlo simulations on the cell broadband engine T Rotaru, M Dalheimer, FJ Pfreundt Concurrency and Computation: Practice and Experience 22 (5), 643-657, 2010 | 16 | 2010 |
| Learning embeddings for image clustering: An empirical study of triplet loss approaches K Ho, J Keuper, FJ Pfreundt, M Keuper 2020 25th International Conference on Pattern Recognition (ICPR), 87-94, 2021 | 14 | 2021 |
Janis KeuperInstitute for Machine Learning and Analytics (IMLA), Offenburg University, GermanyVerified email at hs-offenburg.de
