284 citations · 824 across the 49 of their papers we have counts for
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stat.ML2018★ 4 cited
On Machine Learning and Structure for Mobile Robots
Markus Wulfmeier
Due to recent advances - compute, data, models - the role of learning in autonomous systems has expanded significantly, rendering new applications possible for the first time. Whil…
stat.ML2018
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek +4
Visually predicting the stability of block towers is a popular task in the domain of intuitive physics. While previous work focusses on prediction accuracy, a one-dimensional perfo…
stat.ML2017
Incremental Adversarial Domain Adaptation for Continually Changing Environments
Markus Wulfmeier, Alex Bewley, Ingmar Posner
Continuous appearance shifts such as changes in weather and lighting conditions can impact the performance of deployed machine learning models. While unsupervised domain adaptation…