kClimate 🌦️

Publications

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. Mukkavilli, S.K., Civitarese, D.S., Schmude, J., Jakubik, J., Jones, A., Nguyen, N., Phillips, C., Roy, S., Singh, S., Watson, C., Ganti, R., Hamann, H., Nair, U., Ramachandran, R., Weldemariam, K. (2023). arXiv preprint arXiv: 2309.10808. [30 citations] (Public Press: NASA Earth Data, Engadget, Times of India, Indian Express)

Tackling climate change with machine learning. ACM Computing Surveys (CSUR), 55(2), 1-96. Rolnick, D., Donti, P.L., Kaack, L.H., Kochanski, K., Lacoste, A., Sankaran, S., Ross, A.S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., Luccioni, L., Maharaj, T., Sherwin, E.D., Mukkavilli, S.K., Kording, K.P., Gomes, C., Ng, A.Y., Hassabis, D., Platt, J.C., Creutzig, F., Chayes, J., Bengio., Y. (2022). [1671 citations] (Public Press: MIT Technology Review, National Geographic)

Drawdown: The Most Comprehensive Plan Ever Proposed to Reverse Global Warming. NY Times Bestseller. P Hawken, C Frischmann, K Wilkinson, R Allard, K Bayuk, J.P. Gouveia, M Mehra, E Toensmeier, C Leahy, C Chissell, O Ashmoore, Z Accuardi, R.U. Ahmed, C Alkire, R Allard, R Becque, E Boeing, J Cabiness, J Chamberlin, D Chen, L Covis, P deSouza, A Goldstein, A Graves, K Gupta, Z Han, Z Hansfather, Y Herbert, A Hong, A Horowitz, T Hottle, D Jaber, D Jagu, D Kane, B.X. Li, S Malaviya, U Malvadkar, A Mason, M Mathur, V Maxwell, D Mead, R Metzel, A Michalko, I Midzic, S.K. Mukkavilli, K Narula, D Papaioannou, M Pedraza, C Petrenko, N Rajvanshi, George R, A Rubinson, A Salazar, A Satre-Meloy, C Shearer, D Siap, K Siman, L Tahkamo, M Valencia, E.V. Thomas, A Wade, M Waite, C Wheeler, C.W. Wright, L.E. Yang, D Yin, K Zame, T Steyer. (2017). [1106 citations] (Public Press: NY Times, CBS News) Research Fellow on plant-rich diet solution (Food, Ag and Land Use) & carbon-cycle method behind top 100 solutions

Visualizing the consequences of climate change using cycle-consistent adversarial networks. International Conference on Learning Representations (ICLR), AI for Social Good. Schmidt, V., Luccioni, A., Mukkavilli, S. K., Balasooriya, N., Sankaran, K., Chayes, J., & Bengio, Y. (2019). arXiv preprint arXiv:1905.03709. [61 citations] (Public Press: MIT Technology Review, National Geographic)