S. Karthik Mukkavilli
S. Karthik Mukkavilli
US DOE - LBNL & PNNL, Exascale Computing; University of California, Irvine; McGill CIM/CS
Verified email at lbl.gov - Homepage
Title
Cited by
Cited by
Year
Drawdown: The most comprehensive plan ever proposed to reverse global warming
P Hawken
Penguin, 2017
3992017
Tackling Climate Change with Machine Learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
1162019
Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, and Yoshua Bengio. Tackling Climate Change with Machine Learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433 [cs, stat], 2019
242019
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
192019
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
152019
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
142018
Tackling climate change with machine learning (2019)
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arxiv:1906.05433, 1906
51906
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
22019
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 and Health, 2020
12020
Predicting ice flow using machine learning
Y Min, SK Mukkavilli, Y Bengio
Neural Information Processing Systems (NeurIPS), Tackling Climate Change …, 2019
12019
Climate Change & AI: Present and potential role of AI in assessment and response
L Joppa, V Lakshmanan, V Kumar, G Dudek, SK Mukkavilli, P Tissot
99th American Meteorological Society Annual Meeting, 2019
12019
EnviRoNet-Planetary Science Applications
SK Mukkavilli, D Meger, G Dudek
AGUFM 2018, P43J-3875, 2018
12018
Parameterization of Autoconversion Rates in a Climate Model Using Machine Learning with Training from Large Eddy Simulations
KG Pressel, PL Ma, J Fan, JD Fast, WI Gustafson, JC Hardin, C Kaul, ...
AGU Fall Meeting 2020, 2020
2020
Towards robust operational neural network parameterizations of convection in climate models—advances in stability, credibility and software
MS Pritchard, T Beucler, G Mooers, J Ott, P Gentine, L Peng, P Baldi, ...
AGU Fall Meeting 2020, 2020
2020
Generative Large Eddy Simulations with conditional Variational Autoencoders
SK Mukkavilli, MS Pritchard, KG Pressel, G Mooers, PL Ma, S Mandt
AGU Fall Meeting 2020, 2020
2020
Integrated Climate Extremes: Modeling Future Impacts for Visualizing Climate Change
SK Mukkavilli, Y Min, A Madanchi, VB Pacela, S Patel, Y Bengio
100th American Meteorological Society Annual Meeting, 2020
2020
PMNet: Improving Aerosol Predictions Using Deep Neural Nets for Limited Ground Stations
C Hoyne, SK Mukkavilli, D Meger
100th American Meteorological Society Annual Meeting, 2020
2020
AI Applications for Air Quality
SK Mukkavilli
100th American Meteorological Society Annual Meeting, 2020
2020
Environet: A Project Update
SK Mukkavilli
100th American Meteorological Society Annual Meeting, 2020
2020
Deep learning for Aerosol Forecasting
C Hoyne, SK Mukkavilli, D Meger
Neural Information Processing Systems (NeurIPS), Machine Learning and the …, 2019
2019
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