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
3772017
Tackling Climate Change with Machine Learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
962019
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
22*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
162019
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
142019
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
132018
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
Deep Learning Applications for Environmental Science II
SK Mukkavilli
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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