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Christoph Manss

2 accepted papers

2018

Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers

ICASSP 2018accepted

In processing spatially distributed data, multi-agent robotic platforms equipped with sensors and computing capabilities are gaining interest for applications in inhospitable environments. In this work an algorithm for a distributed realization of sparse bayesian learning (SBL) is discussed for lear…

Cited by 7SourceScholar
2016

Decentralized multi-agent exploration with online-learning of Gaussian processes

ICRA 2016

Exploration is a crucial problem in safety of life applications, such as search and rescue missions. Gaussian processes constitute an interesting underlying data model that leverages the spatial correlations of the process to be explored to reduce the required sampling of data. Furthermore, multi-ag

Cited by 68SourceScholar