| Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 462 | 2022 |
| Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators T Kurth, S Subramanian, P Harrington, J Pathak, M Mardani, D Hall, ... Proceedings of the platform for advanced scientific computing conference, 1-11, 2023 | 98 | 2023 |
| The case for strong scaling in deep learning: Training large 3d cnns with hybrid parallelism Y Oyama, N Maruyama, N Dryden, E McCarthy, P Harrington, J Balewski, ... IEEE Transactions on Parallel and Distributed Systems 32 (7), 1641-1652, 2020 | 45 | 2020 |
| Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators, arXiv J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 43 | 2022 |
| Self-supervised representation learning for astronomical images MA Hayat, G Stein, P Harrington, Z Lukić, M Mustafa The Astrophysical Journal Letters 911 (2), L33, 2021 | 42 | 2021 |
| Partial dust obscuration in active galactic nuclei as a cause of broad-line profile and lag variability, and apparent accretion disc inhomogeneities CM Gaskell, PZ Harrington Monthly Notices of the Royal Astronomical Society 478 (2), 1660-1669, 2018 | 39 | 2018 |
| The Astrophysical Journal Letters, 911 MA Hayat, G Stein, P Harrington, Z Lukić, M Mustafa L33, 2021 | 35 | 2021 |
| Mining for strong gravitational lenses with self-supervised learning G Stein, J Blaum, P Harrington, T Medan, Z Lukić The Astrophysical Journal 932 (2), 107, 2022 | 31 | 2022 |
| Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior S Subramanian, P Harrington, K Keutzer, W Bhimji, D Morozov, ... Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| Enhanced mixing in magnetized fingering convection, and implications for red giant branch stars PZ Harrington, P Garaud The Astrophysical Journal Letters 870 (1), L5, 2019 | 16 | 2019 |
| Co-design center for exascale machine learning technologies (exalearn) FJ Alexander, J Ang, JA Bilbrey, J Balewski, T Casey, R Chard, J Choi, ... The International Journal of High Performance Computing Applications 35 (6 …, 2021 | 15 | 2021 |
| Self-supervised similarity search for large scientific datasets G Stein, P Harrington, J Blaum, T Medan, Z Lukic arXiv preprint arXiv:2110.13151, 2021 | 12 | 2021 |
| Diagnosing parallel I/O bottlenecks in HPC applications P Harrington, W Yoo, A Sim, K Wu International Conference for High Performance Computing Networking Storage …, 2017 | 12 | 2017 |
| HyPhy: Deep generative conditional posterior mapping of hydrodynamical physics B Horowitz, M Dornfest, Z Lukić, P Harrington The Astrophysical Journal 941 (1), 42, 2022 | 10 | 2022 |
| Fast, High-fidelity Lyα Forests with Convolutional Neural Networks P Harrington, M Mustafa, M Dornfest, B Horowitz, Z Lukić The Astrophysical Journal 929 (2), 160, 2022 | 9 | 2022 |
| p. Hassanzadeh, K. Kashinath, and A. Anandkumar. Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 8 | 2022 |
| FourCastNet: A Global Data-Driven High-Resolution Weather Model using Adaptive Fourier Neural Operators; 2022. doi: 10.48550 J Pathak, S Subramanian, P Harrington arXiv preprint arXiv.2202.11214, 0 | 7 | |
| Estimating galactic distances from images using self-supervised representation learning MA Hayat, P Harrington, G Stein, Z Lukić, M Mustafa arXiv preprint arXiv:2101.04293, 2021 | 5 | 2021 |
| A practical probabilistic benchmark for ai weather models ND Brenowitz, Y Cohen, J Pathak, A Mahesh, B Bonev, T Kurth, ... arXiv preprint arXiv:2401.15305, 2024 | 4 | 2024 |
| Towards stability of autoregressive neural operators M McCabe, P Harrington, S Subramanian, J Brown arXiv preprint arXiv:2306.10619, 2023 | 4 | 2023 |
