Profil Janis Keuper

Schwerpunkte/Kompetenzen

• Maschinelles Lernen
  • Large Scale Machine Learning
  • Deep Learning
  • Ensemble Methods
• Mustererkennung
• Parallelisierung

Publikationen

Highlightpublikationen

• Keuper, J.; Pfreundt, F.-J.:
  Distributed training of deep neural networks: theoretical and practical limits of parallel scalability.
  Proceedings of the Workshop on Machine Learning in High Performance Computing Environments (MLHPC '16), IEEE Press, Piscataway, NJ, USA, 19-26. DOI: https://doi.org/10.1109/MLHPC.2016.6, (2016).
• Keuper, J.; Pfreundt, F.-J.:
  Asynchronous Parallel Stochastic Gradient Descent: A Numeric Core for calable Distributed Machine Learning Algorithms.
  Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments; doi.acm.org/10.1145/2834892.2834893, isbn 978-1-4503-4006-9, publisher ACM.
• Keuper, J.:
  Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms.
  Journal CoRR, volume abs/1510.01155, (2015).