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- Volkswagen Group (United States)US10 papers
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6 papers · 1 filter
Multi-Source Neural Variational Inference
Richard Kurle, Stephan Günnemann, Patrick van der Smagt
Learning from multiple sources of information is an important problem in machine-learning research. The key challenges are learning representations and formulating inference method…
Introducing Noise in Decentralized Training of Neural Networks
Linara Adilova, Nathalie Paul, Peter Schlicht
It has been shown that injecting noise into the neural network weights during the training process leads to a better generalization of the resulting model. Noise injection in the d…
Active Learning based on Data Uncertainty and Model Sensitivity
Nutan Chen, Alexej Klushyn, Alexandros Paraschos +2
Robots can rapidly acquire new skills from demonstrations. However, during generalisation of skills or transitioning across fundamentally different skills, it is unclear whether th…
Output statistics of quantum annealers with disorder
Jonathan Brugger, Christian Seidel, Michael Streif +3
We demonstrate that the output statistics of a quantum annealing protocol run on D-Wave 2000Q can be explained by static disorder garnishing an otherwise ideal device hardware. A B…
Approximate Bayesian inference in spatial environments
Atanas Mirchev, Baris Kayalibay, Maximilian Soelch +2
Model-based approaches bear great promise for decision making of agents interacting with the physical world. In the context of spatial environments, different types of problems suc…
Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces
Johannes Pillmann, Christian Wietfeld, Adrian Zarcula +2
Even though connectivity services have been introduced in many of the most recent car models, access to vehicle data is currently limited due to its proprietary nature. The Europea…