L.  Ardizzone, Mackowiak, R., Rother, C., and Köthe, U., ?Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling?, 2020.

T.  Beier, Andres, B., Köthe, U., and Hamprecht, F. A., ?An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem?, ECCV. Proceedings, vol. LNCS 9906. Springer, pp. 715-730, 2016.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Modelswith Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010, pp. 353-362.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010.

B.  Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., ?On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation?, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.