| Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules N Gebauer, M Gastegger, K Schütt Advances in Neural Information Processing Systems 32, 7566-7578, 2019 | 252 | 2019 |
| Inverse design of 3d molecular structures with conditional generative neural networks NWA Gebauer, M Gastegger, SSP Hessmann, KR Müller, KT Schütt Nature communications 13 (1), 973, 2022 | 185 | 2022 |
| SchNetPack 2.0: A neural network toolbox for atomistic machine learning KT Schütt, SSP Hessmann, NWA Gebauer, J Lederer, M Gastegger The Journal of Chemical Physics 158 (14), 2023 | 53 | 2023 |
| Generating equilibrium molecules with deep neural networks NWA Gebauer, M Gastegger, KT Schütt NeurIPS Workshop on Machine Learning for Molecules and Materials 2018, 2018 | 44 | 2018 |
| 3D-Scaffold: A deep learning framework to generate 3d coordinates of drug-like molecules with desired scaffolds RP Joshi, NWA Gebauer, M Bontha, M Khazaieli, RM James, JB Brown, ... The Journal of Physical Chemistry B 125 (44), 12166-12176, 2021 | 37 | 2021 |
| Molecular relaxation by reverse diffusion with time step prediction K Kahouli, SSP Hessmann, KR Müller, S Nakajima, S Gugler, ... Machine Learning: Science and Technology 5 (3), 035038, 2024 | 3 | 2024 |
| Autoregressive Generative Neural Networks for the Inverse Design of 3d Molecular Structures NWA Gebauer Technische Universität Berlin, 2024 | | 2024 |
| Accelerating crystal structure search through active learning with neural networks for rapid relaxations SSP Hessmann, KT Schütt, NWA Gebauer, M Gastegger, T Oguchi, ... arXiv preprint arXiv:2408.04073, 2024 | | 2024 |
Kristof T. SchüttPfizer, Machine Learning Research在 pfizer.com 的电子邮件经过验证
