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Thomas Frerix

PhD StudentTechnical University of Munich

Department of Informatics
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17780
Fax: +49-89-289-17757
Office: 02.09.035
Mail: thomas.frerix@tum.de

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

Summer Term 2021

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
[]Variational Data Assimilation with a Learned Inverse Observation Operator (T. Frerix, D. Kochkov, J. Smith, D. Cremers, M. Brenner and S. Hoyer), In arXiv preprint: 2102.11192, 2021. (arXiv) [bibtex]
2020
[]Homogeneous Linear Inequality Constraints for Neural Network Activations (T Frerix, M Nießner and D Cremers), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020. (URL, code) [bibtex]
2019
[]Approximating Orthogonal Matrices with Effective Givens Factorization (T. Frerix and J. Bruna), In Proceedings of the 36th International Conference on Machine Learning (ICML), 2019. (URL, code) [bibtex]
2018
[]Proximal Backpropagation (T. Frerix, T. Möllenhoff, M. Moeller and D. Cremers), In International Conference on Learning Representations (ICLR), 2018. (arXiv:1706.04638, code) [bibtex]
2017
[]Associative Domain Adaptation (P. Haeusser, T. Frerix, A. Mordvintsev and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2017. ([code] [PDF from CVF]) [bibtex] [pdf]
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Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

05.05.2021
French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium aims to strengthen interactions and inspire collaborations between both countries. We invited some of the leading ML researchers from France and Germany to this two-day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.

03.05.2021

Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream

23.04.2021

4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.

19.04.2021

Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream

07.04.2021

Thomas Pock (TU Graz) will give a talk in the TUM AI lecture series on April 15th, 3pm! Livestream

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