| 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 | 1063* | 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 | 968 | 2017 |
| 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 | 556* | 2023 |
| 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 | 50 | 2019 |
| 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 | 50 | 2019 |
| 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 | 18 | 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 | 9 | 2020 |
| 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 | 8* | 2023 |
| Deep learning for Aerosol Forecasting C Hoyne, SK Mukkavilli, D Meger Neural Information Processing Systems (NeurIPS), Machine Learning and the …, 2019 | 4 | 2019 |
| 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 | 4* | 2019 |
| Lifelines for a Drowning Science‐Improving Findability and Synthesis of Hydrologic Publications L Stein, SK Mukkavilli, T Wagener Hydrological Processes, e14742, 2022 | 3 | 2022 |
| Predicting ice flow using machine learning Y Min, SK Mukkavilli, Y Bengio Neural Information Processing Systems (NeurIPS), Tackling Climate Change …, 2019 | 3* | 2019 |
| 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 |
| INDUS: Effective and Efficient Language Models for Scientific Applications B Bhattacharjee, A Trivedi, M Muraoka, M Ramasubramanian, ... arXiv preprint arXiv:2405.10725, 2024 | | 2024 |
| Identifying global biases in hydro-hazard research by mining the scientific literature L Stein, SK Mukkavilli, BM Pfitzmann, PWJ Staar, U Ozturk, C Berrospi, ... EGU24, 2024 | | 2024 |
| Wealth over Woe: global biases in hydro-hazard research L Stein, SK Mukkavilli, BM Pfitzmann, PWJ Staar, U Ozturk, C Berrospi, ... EarthArXiv, 2024 | | 2024 |
| A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network T Kurihana, K Yeo, D Szwarcman, B Elmegreen, K Mukkavilli, J Schmude, ... arXiv preprint arXiv:2312.13212, 2023 | | 2023 |
| 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 | | 2023 |
| ClimateHub: Deep Search for Climate, Earth and Environmental Sciences K Mukkavilli, T Brunschwiler, B Pfitzmann, CB Ramis, A Jones, P Staar American Geophysical Union Fall Meeting, 2023 | | 2023 |
| Towards operational methane emission detection from oil and gas facilities through multi-modal sensing and advanced dispersion and atmospheric modeling A Fathi, JL de Sousa Almeida, E Bentivegna, F Cardoso, B Elmegreen, ... American Geophysical Union Fall Meeting, 2023 | | 2023 |
David RolnickMcGill University, Mila Quebec AI Institute在 cs.mcgill.ca 的电子邮件经过验证
