Search Results for author: Michael Stephan

Found 5 papers, 2 papers with code

MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling

1 code implementation24 Oct 2022 Julius Ott, Lorenzo Servadei, Jose Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sánchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille

This is enabled by the uncertainty estimation of the Q-Value function, which guides the sampling to explore more significant transitions and, thus, learn a more efficient policy.

reinforcement-learning Reinforcement Learning (RL)

Utilizing Explainable AI for improving the Performance of Neural Networks

no code implementations7 Oct 2022 Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Robert Wille, Avik Santra

To address this, Explainable Artificial Intelligence (XAI) has been developing as a field that aims to improve the transparency of the model and increase their trustworthiness.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation

no code implementations30 May 2022 Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz

This paper presents a parametric variational autoencoder-based human target detection and localization framework working directly with the raw analog-to-digital converter data from the frequency modulated continous wave radar.

Domain Adaptation Image Reconstruction

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