Robert Müller, M.Sc.

Robert Müller, M.Sc.

Lehrstuhl für Mobile und Verteilte Systeme

Ludwig-Maximilians-Universität München, Institut für Informatik

Oettingenstraße 67
80538 München

Discord: romue404#9696

Raum E 107

Telefon: +49 89 / 2180-9157 (derzeit nicht besetzt)

Fax: +49 89 / 2180-9148

Mail: robert.mueller@ifi.lmu.de

Research Interests

  • Deep Learning (especially on audio)
  • (Acoustic) Anomaly Detection
  • Self-Supervised Learning / Representation Learning
  • (Compositional) Reinforcement Learning

Publications

  • Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting, Fabian Ritz, Felix Hohnstein, Robert Müller, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien and Carsten Hahn, ALIFE, 2020.
  • Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor and Claudia Linnhoff-Popien, „A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games“, ICCS, 2020. [arXiv]
  • Steffen Illium, Philipp Friese, Robert Müller and Sebastian Feld, „What to do in the meantime: Analysis of Service Coverage for Parked Autonomous Vehicles“, AGILE, 2020
  • Robert Müller, Stefan Langer, Fabian Ritz, Christoph Roch, Steffen Illium and Claudia Linnhoff-Popien, „Soccer Team Vectors“, 6th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA’19), 2019. [arXiv]
  • Stefan Langer, Robert Müller, Claudia Linnhoff-Popien and Kyrill Schmid, „Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks“,  6th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA’19), 2019. [arXiv]
  • Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller and Steffen Illium, „Deep Neural Baselines for Computational Paralinguistics“, INTERSPEECH , 2019. [arXiv]
  • Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, and Claudia Linnhoff-Popien, „Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning“, 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 2019. [arXiv]

Preprints

  • Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs and Claudia Linnhoff-Popien, Acoustic Leak Detection in Water Networks
  • Robert Müller, Fabian Ritz, Steffen Illium and Claudia Linnhoff-Popien, Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning [arXiv]
  • Steffen Illium, Robert Müller, Andreas Sedlmeier and Claudia Linnhoff-Popien, Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
  • Kyrill Schmid, Robert Müller, Lenz Belzner and Thomy Phan, Value Based Contracts in Cooperative Games with Deep Reinforcement Learning
  • Andreas Sedlmeier, Robert Müller, Steffen Illium and Claudia Linnhoff-Popien, Policy Entropy for Out-of-Distribution Classification
  • Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Claudia Linnhoff-Popien, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, Jan Wieghardt and Marc Zeller, SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning

Offene Arbeiten

Bei Interesse an einem der ausgeschriebenen Themen einfach eine E-Mail schreiben. Gerne können Sie sich auch jederzeit mit einer eigenen Idee in meinem Forschungsbereich bei mir melden.

  • Evaluating different Neural Network Architectures for Acoustic Anomaly Detection (BA,MA,EP)

In Bearbeitung

  • Online Fashion Recommendation using Automated Feature Extraction
  • Self-Supervised Audio Representation Learning by Sorting Audio Snippets
  • Unsupervised Face Detection with Autoencoders
  • Implizite Emergente Kommunikation im Reinforcement Learning durch Pheromonspuren

Abgeschlossen

  • Neural Soccer Transfer Prediction
  • Language-supported Reinforcement Learning for Learning Compositional Behaviour Patterns