| Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022 | 1324* | 2022 |
| Drawdown: The most comprehensive plan ever proposed to reverse global warming P Hawken, C Frischmann, K Wilkinson, R Allard, K Bayuk, JP Gouveia, ... Penguin, 2017 | 1052 | 2017 |
| Assessment of atmospheric aerosols from two reanalysis products over Australia SK Mukkavilli, AA Prasad, RA Taylor, J Huang, RM Mitchell, A Troccoli, ... Atmospheric research 215, 149-164, 2019 | 56 | 2019 |
| Visualizing the consequences of climate change using cycle-consistent adversarial networks V Schmidt, A Luccioni, SK Mukkavilli, N Balasooriya, K Sankaran, ... International Conference on Learning Representations (ICLR), AI for Social …, 2019 | 54 | 2019 |
| AI Foundation Models for Weather and Climate: Applications, Design, and Implementation S Karthik Mukkavilli, D Salles Civitarese, J Schmude, J Jakubik, A Jones, ... arXiv preprint arXiv: 2309.10808, 2023 | 21* | 2023 |
| Mesoscale simulations of Australian direct normal irradiance, featuring an extreme dust event SK Mukkavilli, AA Prasad, RA Taylor, A Troccoli, MJ Kay Journal of Applied Meteorology and Climatology 57 (3), 493-515, 2018 | 20 | 2018 |
| Strategic foresight to applications of artificial intelligence to achieve water-related sustainable development goals H Mehmood, SK Mukkavilli, I Weber, A Koshio, C Meechaiya, T Piman, ... United Nations University Institute for Water, Environment an d Health …, 2020 | 13 | 2020 |
| Foundation Models for Generalist Geospatial Artificial Intelligence J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ... arXiv preprint arXiv: 2310.18660, 2023 | 6* | 2023 |
| Indus: Effective and efficient language models for scientific applications B Bhattacharjee, A Trivedi, M Muraoka, M Ramasubramanian, ... arXiv preprint arXiv:2405.10725, 2024 | 5 | 2024 |
| EnviroNet: ImageNet for Environment SK Mukkavilli, P Tissot, A Ganguly, L Joppa, D Meger, G Dudek 18th Conference on Artificial and Computational Intelligence and its …, 2019 | 5* | 2019 |
| Lifelines for a Drowning Science‐Improving Findability and Synthesis of Hydrologic Publications L Stein, SK Mukkavilli, T Wagener Hydrological Processes, e14742, 2022 | 4 | 2022 |
| Predicting ice flow using machine learning Y Min, SK Mukkavilli, Y Bengio Neural Information Processing Systems (NeurIPS), Tackling Climate Change …, 2019 | 4* | 2019 |
| Deep learning for Aerosol Forecasting C Hoyne, SK Mukkavilli, D Meger Neural Information Processing Systems (NeurIPS), Machine Learning and the …, 2019 | 4 | 2019 |
| TensorBank: Tensor Lakehouse for Foundation Model Training R Kienzler, J Schmude, N Simumba, B Blumenstiel, M Freitag, D Kimura, ... 2023 IEEE International Conference on Big Data (BigData), 3350-3354, 2023 | 2 | 2023 |
| Wealth over Woe: Global biases in hydro‐hazard research L Stein, SK Mukkavilli, BM Pfitzmann, PWJ Staar, U Ozturk, C Berrospi, ... Earth's Future 12 (10), e2024EF004590, 2024 | 1 | 2024 |
| AI-driven autonomous microrobots for targeted medicine M Medany, SK Mukkavilli, D Ahmed Nature Reviews Bioengineering, 2024 | 1 | 2024 |
| Generative large eddy simulations with conditional variational autoencoders SK Mukkavilli, MS Pritchard, KG Pressel, G Mooers, PL Ma, S Mandt AGU Fall Meeting Abstracts 2020, A043-0009, 2020 | 1 | 2020 |
| Investigating Australian dust aerosol spatiotemporal effects on direct normal irradiance forecasts SK Mukkavilli https://www.unsworks.unsw.edu.au/primo-explore/fulldisplay/unsworks_58614 …, 2018 | 1 | 2018 |
| Site-scale methane plume simulation and validation from oil and gas facilities through advanced dispersion, atmospheric modeling, and scientific machine learning A Fathi, JLS Almeida, E Bentivegna, F Cardoso, B Elmegreen, L Klein, ... AGU24, 2024 | | 2024 |
| Efficient Fine-tuning of Atmospheric Foundation Models for Wildfire Modeling AA Rahman, L Mackey, SK Mukkavilli, S Kahou AGU24, 2024 | | 2024 |
David RolnickMcGill University, Mila Quebec AI Institute在 cs.mcgill.ca 的电子邮件经过验证