| Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 470 | 2021 |
| Helix-packing motifs in membrane proteins RFS Walters, WF Degrado Proceedings of the National Academy of Sciences 103 (37), 13658-13663, 2006 | 350 | 2006 |
| Computational design of peptides that target transmembrane helices H Yin, JS Slusky, BW Berger, RS Walters, G Vilaire, RI Litvinov, JD Lear, ... Science 315 (5820), 1817-1822, 2007 | 333 | 2007 |
| Incorporating symmetry into deep dynamics models for improved generalization R Wang, R Walters, R Yu arXiv preprint arXiv:2002.03061, 2020 | 194 | 2020 |
| Ez, a depth-dependent potential for assessing the energies of insertion of amino acid side-chains into membranes: derivation and applications to determining the orientation of … A Senes, DC Chadi, PB Law, RFS Walters, V Nanda, WF DeGrado Journal of molecular biology 366 (2), 436-448, 2007 | 170 | 2007 |
| Automatic symmetry discovery with lie algebra convolutional network N Dehmamy, R Walters, Y Liu, D Wang, R Yu Advances in Neural Information Processing Systems 34, 2503-2515, 2021 | 97 | 2021 |
| -Equivariant Reinforcement Learning D Wang, R Walters, R Platt arXiv preprint arXiv:2203.04439, 2022 | 82 | 2022 |
| Approximately equivariant networks for imperfectly symmetric dynamics R Wang, R Walters, R Yu International Conference on Machine Learning, 23078-23091, 2022 | 77 | 2022 |
| Sample efficient grasp learning using equivariant models X Zhu, D Wang, O Biza, G Su, R Walters, R Platt arXiv preprint arXiv:2202.09468, 2022 | 66 | 2022 |
| Equivariant Learning in Spatial Action Spaces D Wang, R Walters, X Zhu, R Platt Conference on Robot Learning, 1713-1723, 2022 | 63 | 2022 |
| Improving the generalizability of protein-ligand binding predictions with AI-Bind A Chatterjee, R Walters, Z Shafi, OS Ahmed, M Sebek, D Gysi, R Yu, ... Nature communications 14 (1), 1989, 2023 | 61 | 2023 |
| The isoperimetric problem on planes with density C Carroll, A Jacob, C Quinn, R Walters Bulletin of the Australian Mathematical Society 78 (2), 177-197, 2008 | 61 | 2008 |
| Trajectory prediction using equivariant continuous convolution R Walters, J Li, R Yu arXiv preprint arXiv:2010.11344, 2020 | 55 | 2020 |
| Equivariant transporter network H Huang, D Wang, R Walters, R Platt arXiv preprint arXiv:2202.09400, 2022 | 52 | 2022 |
| Learning symmetric embeddings for equivariant world models JY Park, O Biza, L Zhao, JW van de Meent, R Walters arXiv preprint arXiv:2204.11371, 2022 | 49 | 2022 |
| Topological deep learning: Going beyond graph data M Hajij, G Zamzmi, T Papamarkou, N Miolane, A Guzmán-Sáenz, ... arXiv preprint arXiv:2206.00606, 2022 | 43 | 2022 |
| Meta-learning dynamics forecasting using task inference R Wang, R Walters, R Yu Advances in Neural Information Processing Systems 35, 21640-21653, 2022 | 33 | 2022 |
| Rose Yu R Wang, R Walters Towards physics-informed deep learning for turbulent flow prediction, 1457-1466, 2020 | 33 | 2020 |
| Edge grasp network: A graph-based se (3)-invariant approach to grasp detection H Huang, D Wang, X Zhu, R Walters, R Platt 2023 IEEE International Conference on Robotics and Automation (ICRA), 3882-3888, 2023 | 30 | 2023 |
| On-robot learning with equivariant models D Wang, M Jia, X Zhu, R Walters, R Platt arXiv preprint arXiv:2203.04923, 2022 | 30 | 2022 |