% generated by bibtexbrowser % % Encoding: UTF-8 @inproceedings{haeusser_iccv_17, author = {P. Haeusser and T. Frerix and A. Mordvintsev and D. Cremers}, title = {Associative Domain Adaptation}, booktitle = {IEEE International Conference on Computer Vision (ICCV)}, year = {2017}, keywords = {semi-supervised, deep learning, neural networks, association, domain adaptation, associative_learning}, titleurl = {haeusser_iccv_17.pdf}, } @inproceedings{Frerix-et-al-18, author = {T. Frerix and T. Möllenhoff and M. Moeller and D. Cremers}, title = {Proximal Backpropagation}, booktitle = {International Conference on Learning Representations (ICLR)}, primaryclass = {cs.LG}, year = {2018}, } @inproceedings{Frerix2020, author = {T Frerix and M Nießner and D Cremers}, title = {Homogeneous Linear Inequality Constraints for Neural Network Activations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, year = {2020}, } @inproceedings{Frerix2021, title = {Variational Data Assimilation with a Learned Inverse Observation Operator}, author = {T Frerix and D Kochkov and J Smith and D Cremers and M Brenner and S Hoyer}, booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML)}, year = {2021}, } @inproceedings{Frerix2019-givens, title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}}, author = {T. Frerix and J. Bruna}, booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)}, year = {2019}, }