| Learning data-driven discretizations for partial differential equations Y Bar-Sinai, S Hoyer, J Hickey, MP Brenner Proceedings of the National Academy of Sciences 116 (31), 15344-15349, 2019 | 619 | 2019 |
| Free-form diffractive metagrating design based on generative adversarial networks J Jiang, D Sell, S Hoyer, J Hickey, J Yang, JA Fan ACS nano 13 (8), 8872-8878, 2019 | 340 | 2019 |
| Metnet: A neural weather model for precipitation forecasting CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ... arXiv preprint arXiv:2003.12140, 2020 | 330 | 2020 |
| Machine learning for precipitation nowcasting from radar images S Agrawal, L Barrington, C Bromberg, J Burge, C Gazen, J Hickey arXiv preprint arXiv:1912.12132, 2019 | 273 | 2019 |
| Sunshine: A high performance self-routing broadband packet switch architecture JN Giacopelli, JJ Hickey, WS Marcus, WD Sincoskie, M Littlewood IEEE Journal on selected Areas in Communications 9 (8), 1289-1298, 1991 | 244 | 1991 |
| Deep learning for twelve hour precipitation forecasts L Espeholt, S Agrawal, C Sønderby, M Kumar, J Heek, C Bromberg, ... Nature communications 13 (1), 1-10, 2022 | 219 | 2022 |
| Building reliable, high-performance communication systems from components X Liu, C Kreitz, R Van Renesse, J Hickey, M Hayden, K Birman, ... ACM SIGOPS Operating Systems Review 33 (5), 80-92, 1999 | 178 | 1999 |
| The Caltech multi-vehicle wireless testbed L Cremean, WB Dunbar, D Van Gogh, J Hickey, E Klavins, J Meltzer, ... Proceedings of the 41st IEEE Conference on Decision and Control, 2002. 1, 86-88, 2002 | 163 | 2002 |
| The Horus and Ensemble projects: Accomplishments and limitations K Birman, B Constable, M Hayden, J Hickey, C Kreitz, R Van Renesse, ... Proceedings DARPA Information Survivability Conference and Exposition …, 2000 | 123 | 2000 |
| Real World OCaml: Functional programming for the masses Y Minsky, A Madhavapeddy, J Hickey " O'Reilly Media, Inc.", 2013 | 104 | 2013 |
| Specifications and proofs for Ensemble layers J Hickey, N Lynch, R Van Renesse International Conference on Tools and Algorithms for the Construction and …, 1999 | 92 | 1999 |
| Outlook for exploiting artificial intelligence in the earth and environmental sciences SA Boukabara, V Krasnopolsky, SG Penny, JQ Stewart, A McGovern, ... Bulletin of the American Meteorological Society 102 (5), E1016-E1032, 2021 | 72 | 2021 |
| Non-restoring integer square root: A case study in design by principled optimization J O'Leary, M Leeser, J Hickey, M Aagaard International Conference on Theorem Provers in Circuit Design, 52-71, 1994 | 67 | 1994 |
| MetaPRL–a modular logical environment J Hickey, A Nogin, RL Constable, BE Aydemir, E Barzilay, Y Bryukhov, ... Theorem Proving in Higher Order Logics: 16th International Conference …, 2003 | 66 | 2003 |
| The MetaPRL logical programming environment JJ Hickey Cornell University, 2000 | 60 | 2000 |
| A proof environment for the development of group communication systems C Kreitz, M Hayden, J Hickey Automated Deduction—CADE-15: 15th International Conference on Automated …, 1998 | 52 | 1998 |
| Formal objects in type theory using very dependent types JJ Hickey Foundations of Object Oriented Languages 3, 117-170, 1996 | 49 | 1996 |
| Metnet: A neural weather model for precipitation forecasting. arXiv 2020 CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ... arXiv preprint arXiv:2003.12140, 0 | 48 | |
| Machine learning for precipitation nowcasting from radar images. arXiv 2019 S Agrawal, L Barrington, C Bromberg, J Burge, C Gazen, J Hickey arXiv preprint arXiv:1912.12132, 1912 | 47 | 1912 |
| Global extreme heat forecasting using neural weather models I Lopez-Gomez, A McGovern, S Agrawal, J Hickey Artificial Intelligence for the Earth Systems 2 (1), 2023 | 39 | 2023 |
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