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stat.ML2018★ 8 cited
Probabilistic Recurrent State-Space Models
Andreas Doerr, Christian Daniel, Martin Schiegg +4
State-space models (SSMs) are a highly expressive model class for learning patterns in time series data and for system identification. Deterministic versions of SSMs (e.g. LSTMs) p…
stat.ML2015
Robust Gaussian Filtering using a Pseudo Measurement
Manuel Wüthrich, Cristina Garcia Cifuentes, Sebastian Trimpe +4
Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor…