| Neural flows: Efficient alternative to neural ODEs M Biloš, J Sommer, SS Rangapuram, T Januschowski, S Günnemann Advances in neural information processing systems 34, 21325-21337, 2021 | 48 | 2021 |
| Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness J Sommer, S Geisler, J Schuchardt, A Bojchevski, S Günnemann 10th International Conference on Learning Representations, 2022 | 33* | 2022 |
| Mnc: Structure-exploiting sparsity estimation for matrix expressions J Sommer, M Boehm, AV Evfimievski, B Reinwald, PJ Haas Proceedings of the 2019 International Conference on Management of Data, 1607 …, 2019 | 19 | 2019 |
| Learning to Tune XGBoost with XGBoost J Sommer, D Sarigiannis, T Parnell Meta Learning @ NeurIPS 2019, 2019 | 11 | 2019 |
| MAGNet: Motif-Agnostic Generation of Molecules from Shapes J Sommer, L Hetzel, B Rieck, F Theis, S Günnemann arXiv preprint arXiv:2305.19303, 2023 | 1 | 2023 |
| The Power of Motifs as Inductive Bias for Learning Molecular Distributions J Sommer, L Hetzel, D Lüdke, FJ Theis, S Günnemann Machine Learning for Drug Discovery @ ICLR 2023, 2023 | 1 | 2023 |
