Responsibilities
Director of AI Research, Volkswagen Group
Chairman of Assistenzrobotik e.V.
Contact
Ungererstr. 69, 80805 Munich
Phone:
+49 (0)89 / 289 25793
Fax:
+49 (0)89 / 289 18107
Email:
smagt@brml.org
Website:
http://www.argmax.ai
Further Information
Research focus: machine learning, probabilistic inference, control, robotics
Keywords: deep learning, probability theory, robotics, biomechanics, body-machine interfaces, movement modeling
Graduated GSN students: Dr. Grady Jensen
Selected publications:
Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt (2018)
Metrics for Deep Generative Models. AISTATS, 2018
Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt (2017). Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. International Conference on Learning Representations (ICLR)
Flownet: Learning optical flow with convolutional networks. A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ... Proceedings of the IEEE International Conference on Computer Vision, 2758-2766
Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, Haddadin S, Liu J, Cash SS, van der Smagt P and Donoghue JP. (2012) Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485: 372-377.