| Associative domain adaptation P Haeusser, T Frerix, A Mordvintsev, D Cremers Proceedings of the IEEE international conference on computer vision, 2765-2773, 2017 | 304 | 2017 |
| Proximal Backpropagation T Frerix, T Möllenhoff, M Moeller, D Cremers International Conference on Learning Representations (ICLR 2018), 2018 | 46 | 2018 |
| Variational Data Assimilation with a Learned Inverse Observation Operator T Frerix, D Kochkov, JA Smith, D Cremers, MP Brenner, S Hoyer International Conference on Machine Learning (ICML 2021), 2021 | 36 | 2021 |
| Homogeneous Linear Inequality Constraints for Neural Network Activations T Frerix, M Nießner, D Cremers Conference on Computer Vision and Pattern Recognition (CVPR Workshops 2020), 2020 | 35 | 2020 |
| De novo design of high-affinity protein binders with AlphaProteo V Zambaldi, D La, AE Chu, H Patani, AE Danson, TOC Kwan, T Frerix, ... arXiv preprint arXiv:2409.08022, 2024 | 25 | 2024 |
| Approximating Orthogonal Matrices with Effective Givens Factorization T Frerix, J Bruna International Conference on Machine Learning (ICML 2019), 2019 | 23 | 2019 |
| Linear inequality constraints for neural network activations T Frerix, D Cremers, M Nießner arXiv preprint arXiv:1902.01785 3, 2019 | 8 | 2019 |
| From Numerical Optimization to Deep Learning and Back T Frerix Technische Universität München, 2022 | | 2022 |
