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20172019
most citedDeep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation

2 citations · 2 across the 2 of their papers we have counts for

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stat.ML2019

Deep recurrent Gaussian process with variational Sparse Spectrum approximation

Roman Föll, Bernard Haasdonk, Markus Hanselmann +1

Modeling sequential data has become more and more important in practice. Some applications are autonomous driving, virtual sensors and weather forecasting. To model such systems, s…

stat.ML2017★ 2 cited

Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation

Roman Föll, Bernard Haasdonk, Markus Hanselmann +1

Modeling sequential data has become more and more important in practice. Some applications are autonomous driving, virtual sensors and weather forecasting. To model such systems so…