| Diffdock-pp: Rigid protein-protein docking with diffusion models MA Ketata, C Laue, R Mammadov, H Stärk, M Wu, G Corso, C Marquet, ... arXiv preprint arXiv:2304.03889, 2023 | 85 | 2023 |
| Uncertainty estimation for molecules: Desiderata and methods T Wollschläger, N Gao, B Charpentier, MA Ketata, S Günnemann International conference on machine learning, 37133-37156, 2023 | 19 | 2023 |
| Lift your molecules: Molecular graph generation in latent euclidean space MA Ketata, N Gao, J Sommer, T Wollschläger, S Günnemann arXiv preprint arXiv:2406.10513, 2024 | 5 | 2024 |
| Joint Relational Database Generation via Graph-Conditional Diffusion Models MA Ketata, D Lüdke, L Schwinn, S Günnemann arXiv preprint arXiv:2505.16527, 2025 | 1 | 2025 |
| TUM Data Innovation Lab Munich Data Science Institute (MDSI) Technical University of Munich & MIT CS and AI Laboratory S Dobers, MA Ketata, C Laue, R Mammadov, M Plainer, M Toth, ... | | 2023 |
