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cs.LG2018★ 4 cited
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
Rico Jonschkowski, Divyam Rastogi, Oliver Brock
We present differentiable particle filters (DPFs): a differentiable implementation of the particle filter algorithm with learnable motion and measurement models. Since DPFs are end…
cs.LG2015★ 16 cited
Patterns for Learning with Side Information
Rico Jonschkowski, Sebastian Höfer, Oliver Brock
Supervised, semi-supervised, and unsupervised learning estimate a function given input/output samples. Generalization of the learned function to unseen data can be improved by inco…