| Self-supervised deep learning on point clouds by reconstructing space J Sauder, B Sievers Advances in Neural Information Processing Systems 32, 2019 | 233 | 2019 |
| Context prediction for unsupervised deep learning on point clouds J Sauder, B Sievers arXiv preprint arXiv:1901.08396 2 (4), 5, 2019 | 23 | 2019 |
| Neurally augmented ALISTA F Behrens, J Sauder, P Jung arXiv preprint arXiv:2010.01930, 2020 | 13 | 2020 |
| Best student forcing: A simple training mechanism in adversarial language generation J Sauder, T Hu, X Che, G Mordido, H Yang, C Meinel Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 3 | 2020 |
| Scalable semantic 3D mapping of coral reefs with deep learning J Sauder, G Banc‐Prandi, A Meibom, D Tuia Methods in Ecology and Evolution, 2024 | 2 | 2024 |
| Towards Neurally augmented ALISTA F Behrens, J Sauder, P Jung NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 2 | 2020 |
| Learning structured sparse matrices for signal recovery via unrolled optimization J Sauder, M Genzel, P Jung NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 1 | 2021 |
| Scalable 3D Semantic Mapping of Coral Reefs with Deep Learning J Sauder, G Banc-Prandi, G Perna, A Meibom, D Tuia EGU24, 2024 | | 2024 |
| Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery J Sauder, M Genzel, P Jung IEEE Journal on Selected Areas in Information Theory 3 (3), 481-492, 2022 | | 2022 |
| Pseudo-Ground-Truth Training for Adversarial Text Generation with Reinforcement Learning J Sauder, X Che, G Mordido, H Yang, C Meinel NeurIPS 2018 Deep RL Workshop, 2018 | | 2018 |
| ECEO C Chappuis, PR Creusot, E Dalsasso, VAG Gabeff, L Hughes, ... | | |
| LGB S Clavel, G Banc-Prandi, C Battistella, S Bessette, J Bodin, V Bridel, ... | | |
