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About myself
I am a PhD student at the Technical University of Munich advised by Prof. Daniel Cremers. Previously, I received my Bachelor in Physics from the University of Göttingen and my Master in Theoretical and Mathematical Physics in a joint program from LMU Munich and TU Munich. My current research interests lie in machine learning and optimization.
Please don't hesitate to contact me if you have questions or are interested in a collaboration.
Teaching
Winter Term 2020/2021
Winter Term 2019/2020
Summer Term 2019
Winter Term 2017/2018
Summer Term 2017
Publications
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Conference and Workshop Papers
2021
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Variational Data Assimilation with a Learned Inverse Observation Operator , In Proceedings of the 38th International Conference on Machine Learning (ICML), 2021. (URL, code)
2020
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Homogeneous Linear Inequality Constraints for Neural Network Activations , In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020. (URL, code)
2019
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Approximating Orthogonal Matrices with Effective Givens Factorization , In Proceedings of the 36th International Conference on Machine Learning (ICML), 2019. (URL, code)
2018
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Proximal Backpropagation , In International Conference on Learning Representations (ICLR), 2018. (arXiv:1706.04638, code)
2017
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Associative Domain Adaptation , In IEEE International Conference on Computer Vision (ICCV), 2017. ([code] [PDF from CVF])
