| ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models SR Cachay, V Ramesh, JNS Cole, H Barker, D Rolnick Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 18 | 2021 |
| Generating physically-consistent high-resolution climate data with hard-constrained neural networks P Harder, Q Yang, V Ramesh, P Sattigeri, A Hernandez-Garcia, C Watson, ... arXiv preprint arXiv:2208.05424 18, 109-122, 2022 | 15 | 2022 |
| Fourier neural operators for arbitrary resolution climate data downscaling Q Yang, A Hernandez-Garcia, P Harder, V Ramesh, P Sattegeri, ... arXiv preprint arXiv:2305.14452, 2023 | 10 | 2023 |
| Climateset: A large-scale climate model dataset for machine learning J Kaltenborn, C Lange, V Ramesh, P Brouillard, Y Gurwicz, C Nagda, ... Advances in Neural Information Processing Systems 36, 21757-21792, 2023 | 6 | 2023 |
| Monitoring Shorelines via High-Resolution Satellite Imagery and Deep Learning V Ramesh, D Singh | 4 | 2020 |
| Hard-constrained deep learning for climate downscaling P Harder, A Hernandez-Garcia, V Ramesh, Q Yang, P Sattegeri, ... Journal of Machine Learning Research 24 (365), 1-40, 2023 | 3 | 2023 |
| Physics-constrained deep learning for downscaling P Harder, V Ramesh, A Hernandez-Garcia, Q Yang, P Sattigeri, ... EGU General Assembly Conference Abstracts, EGU-4350, 2023 | 2 | 2023 |
| Ice Lead Network Analysis J Kaltenborn, V Ramesh, T Wright EGU General Assembly Conference Abstracts, pp. EGU22–8945 880, 2022 | 1 | 2022 |
