Publications

  • Deep Recurrent Interpolation Networks for Anomalous Sound Detection, Robert Müller, Steffen Illium and Claudia Linnhoff-Popien, accepted at IJCNN 2021 📃
  • Analysis of Feature Representations for Anomalous Sound Detection, Robert Müller, Steffen Illium, Fabian Ritz and Kyrill Schmid, ICAART 2021.
  • Acoustic Leak Detection in Water Networks, Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs and Claudia Linnhoff-Popien, ICAART 2021 (best industrial paper candidate).
  • Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning, Robert Müller, Fabian Ritz, Steffen Illium and Claudia Linnhoff-Popien , ICAART 2021.
  • Soccer Team Vectors, Robert Müller, Stefan Langer, Fabian Ritz, Christoph Roch, Steffen Illium and Claudia Linnhoff-Popien, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Springer, 2019, pp. 247-257.
  • Stochastic Market Games, Kyrill Schmid,Lenz Belzner, Robert Müller, Johannes Tochtermann and Claudia Linnhoff-Popien, IJCAI 2021
  • Distributed Emergent Agreements with Deep Reinforcement Learning, Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann and Claudia Linnhoff-Popien,,* accepted at IJCNN 2021*.
  • SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning, Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller , Jan Wieghardt, Reiner Schmid, Horst Sauer, Cornel Klein and Claudia Linnhoff-Popien, ICAART 2021.
  • Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms, Steffen Illium, Robert Müller, Andreas Sedlmeier and Claudia Linnhoff-Popien, INTERSPEECH 2020.
  • Policy Entropy for Out-of-Distribution Classification, Andreas Sedlmeier, Robert Müller, Steffen Illium and Claudia Linnhoff-Popien, ICANN 2020, Cham, 2020, pp. 420-431.
  • Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting, Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Carsten Hahn and Claudia Linnhoff-Popien, Artificial Life Conference Proceedings, MIT Press, 2020, pp. 518-525.
  • A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games, Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor and Claudia Linnhoff-Popien, International Conference on Computational Science, Springer 2020, pp. 488-501.
  • What to do in the meantime: Analysis of Service Coverage for Parked Autonomous Vehicles, Steffen Illium, Philipp Friese, Robert Müller and Sebastian Feld,, AGILE GIScience Ser., 1, 7, 2020.
  • Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks, Stefan Langer, Robert Müller, Claudia Linnhoff-Popien and Kyrill Schmid, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Springer, 2019, pp. 270-280.
  • Deep Neural Baselines for Computational Paralinguistics, Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller and Steffen Illium, Proc. Interspeech 2019, ISCA Archive, 2019, pp. 2388-2392.
  • Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning, Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch and Claudia Linnhoff-Popien, 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 2019.