Advisor(s):
Philipp Hennig
Together with my supervisor Philipp Hennig and my colleagues, I am working on probabilistic numerics and, more specifically, on using Gaussian Process models for solving Differential Equations. Prior to that, I have been writing my diploma thesis on Image Denoising applied to astronomical images. This work was done under the supervision of Bernhard Schölkopf.
Schober, M., Adam, A., Yair, O., Mazor, S., Nowozin, S.
Dynamic Time-of-Flight
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (conference) Accepted
Hauberg, S., Schober, M., Liptrot, M., Hennig, P., Feragen, A.
A Random Riemannian Metric for Probabilistic Shortest-Path Tractography
In 18th International Conference on Medical Image Computing and Computer Assisted Intervention, 9349, pages: 597-604, Lecture Notes in Computer Science, MICCAI, 2015 (inproceedings)
Schober, M., Duvenaud, D., Hennig, P.
Probabilistic ODE Solvers with Runge-Kutta Means
In Advances in Neural Information Processing Systems 27, pages: 739-747, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)
Schober, M., Kasenburg, N., Feragen, A., Hennig, P., Hauberg, S.
Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Lecture Notes in Computer Science Vol. 8675, pages: 265-272, (Editors: P. Golland, N. Hata, C. Barillot, J. Hornegger and R. Howe), Springer, Heidelberg, MICCAI, 2014 (inproceedings)
Schober, M.
Camera-specific Image Denoising
Eberhard Karls Universität Tübingen, Germany, October 2013 (diplomathesis)
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