Marginally calibrated response distributions for end-to-end learning in autonomous driving

1 code implementation • 3 Oct 2021 • Clara Hoffmann, Nadja Klein

To address this shortcoming we investigate efficient and scalable approximate inference for the implicit copula neural linear model of Klein, Nott and Smith (2021) in order to quantify uncertainty for the predictions of end-to-end learners.

Autonomous Driving Prediction Intervals +1