IMG_7324_scaled.jpg Email: lukas.heppe At sign tu-dortmund.de
Phone: 0231/755-5178
Fax: 0231/755-5105
Room-No.: OH12 R4.023


Research topics

  • Federated / Distributed Learning
  • Resource-Constrained Machine Learning
  • Probabilistic models
  • High-Performance Computing

Presentation / Talks




Heppe/etal/2020a Heppe, Lukas and Kamp, Michael and Adilova, Linara and Piatkowski, Nico and Heinrich, Danny and Morik, Katharina. Resource-Constrained On-Device Learning by Dynamic Averaging. In ECML PKDD 2020 Workshops, pages 129--144, Cham, Springer, 2020.
Heppe/etal/2021a Nikolaos Nikolaou and Ingo P. Waldmann and Angelos Tsiaras and Mario Morvan and Billy Edwards and Kai Hou Yip and Giovanna Tinetti and Subhajit Sarkar and James M. Dawson and Vadim Borisov and Gjergji Kasneci and Matej Petkovic and Tomaz Stepisnik and Tarek Al-Ubaidi and Rachel Louise Bailey and Michael Granitzer and Sahib Julka and Roman Kern and Patrick Ofner and Stefan Wagner and Lukas Heppe and Mirko Bunse and Katharina Morik. Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. In The Astronomical Journal (under review), 2020. Arrow Symbol
Heppe/2019a Heppe, Lukas. Parallele, verteilte Implementierung der Junction-Tree-Inferenz. 2019.
Heppe/2017a Heppe, Lukas and Liebig, Thomas. Real-Time Public Transport Delay Prediction for Situation-Aware Routing. In Kern-Isberner, Gabriele and Fürnkranz, Johannes and Thimm, Matthias (editors), KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings, pages 128--141, Cham, Springer, 2017. Arrow Symbol
Heppe/2016a Heppe, Lukas. ÖPNV Verspätungsvorhersage mit probabilistischen graphischen Modellen. 2016.