Foto von Etienne Müller

Etienne Müller, M.Sc.

Technische Universität München

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

Dienstort

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Work:
Boltzmannstr. 3(5607)/III
85748 Garching b. München


Curriculum Vitae

Etienne Müller is a research assistant and PhD candidate since 2018. He received his Master's degree in Product Development and his Bachelor's Degree in Mechanical Engineering at the Hamburg University of Technology in 2017 and 2014, respectively.

Etienne's current research topic is the development of spiking neural networks in the context of path planning and decision making.

Research Interests

Conversion of today's commonly used analog neural network to spiking neural network for the usage in neuromorphic computing.


Thesis Supervision

Finished:

  • Master Thesis (2021): Performance of Time to First Spike EncodedSpiking Neural Networks
  • Guided Research (2021): Conversion of TransformerNets
  • Master Thesis (2021): Conversion of LSTM-based RNN
  • Master Thesis (2021): Conversion of GRU-based RNN
  • Research Internship (2020): Carla as Open Source Platform for Analyzing and Evaluating Autonomous Driving
  • Master Thesis (2020): Converting Analogue to Spiking Convolutional Neural Networks for Object Detection
  • Graduation Thesis (2019): Semantic Segmentation of Integrated Circuit Layout Images

Publications

2020

  • Auge D, Wenner P, Mueller E: Hand Gesture Recognition using Hierarchical Temporal Memory on Radar Sequence Data. Bernstein Conference 2020, 2020 mehr… BibTeX Volltext ( DOI )
  • Daniel Auge, Etienne Mueller: Resonate-and-Fire Neurons as Frequency Selective Input Encoders for Spiking Neural Networks. 2020, mehr… BibTeX Volltext (mediaTUM)
  • Mueller E, Hansjakob J, Auge D: Faster Conversion of Analog to Spiking Neural Networks by Error Centering. Bernstein Conference 2020, 2020 mehr… BibTeX Volltext ( DOI )