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2020 – today
- 2024
[c6]Muaaz Bhamjee, Hiyam Debary, Zaheed Gaffoor, Tamara Govindasamy, Craig Mahlasi, Mustansar Fiaz, Etienne E. Vos, Levente Klein, Sibusisiwe Makhanya, Campbell D. Watson, Julian Kuehnert:
Detection and Characterization of Urban Heat Islands with Machine Learning. IGARSS 2024: 1693-1699- [i16]Michal Muszynski, Levente J. Klein, Ademir Ferreira da Silva, Anjani Prasad Atluri, Carlos Gomes, Daniela Szwarcman, Gurkanwar Singh, Kewen Gu, Maciel Zortea, Naomi Simumba, Paolo Fraccaro, Shraddha Singh, Steve Meliksetian, Campbell D. Watson, Daiki Kimura, Harini Srinivasan:
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation. CoRR abs/2406.19888 (2024) - [i15]Ayush Prasad, Paula Harder, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Evaluating the transferability potential of deep learning models for climate downscaling. CoRR abs/2407.12517 (2024) - [i14]Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran:
Prithvi WxC: Foundation Model for Weather and Climate. CoRR abs/2409.13598 (2024) - [i13]Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese, Johannes Jakubik, Eric Schmitt, Anirban Chandra, Jeremy Vila, Detlef Hohl, Christopher Hill, Campbell D. Watson, Sherrie Wang:
Multi-modal graph neural networks for localized off-grid weather forecasting. CoRR abs/2410.12938 (2024) - 2023
- [j1]Paula Harder, Alex Hernández-García, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Hard-Constrained Deep Learning for Climate Downscaling. J. Mach. Learn. Res. 24: 365:1-365:40 (2023) - [c5]Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein:
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network. IGARSS 2023: 1297-1300 - [i12]Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. CoRR abs/2305.14452 (2023) - [i11]S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell D. Watson, Raghu K. Ganti, Hendrik F. Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam:
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR abs/2309.10808 (2023) - 2022
- [c4]Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein:
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. IEEE Big Data 2022: 4881-4887 - [c3]Dário A. B. Oliveira, Jorge Guevara Diaz
, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu:
Controlling Weather Field Synthesis Using Variational Autoencoders. IGARSS 2022: 5027-5030 - [i10]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson:
Wildfire risk forecast: An optimizable fire danger index. CoRR abs/2203.15558 (2022) - [i9]Björn Lütjens, Catherine H. Crawford, Campbell D. Watson, Christopher Hill, Dava Newman:
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers. CoRR abs/2207.11417 (2022) - [i8]Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick:
Generating physically-consistent high-resolution climate data with hard-constrained neural networks. CoRR abs/2208.05424 (2022) - [i7]Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht:
Aboveground carbon biomass estimate with Physics-informed deep network. CoRR abs/2210.13752 (2022) - 2021
- [c2]Alberto Costa Nogueira Jr., Felipe C. T. Carvalho, João Lucas de Sousa Almeida, Andrés Codas, Eloisa Bentivegna, Campbell D. Watson:
Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systems. ISC Workshops 2021: 56-72 - [i6]Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz:
A modular framework for extreme weather generation. CoRR abs/2102.04534 (2021) - [i5]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold:
Decadal Forecasts with ResDMD: a Residual DMD Neural Network. CoRR abs/2106.11111 (2021) - [i4]Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson:
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network. CoRR abs/2107.06846 (2021) - [i3]Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny:
A comparative study of stochastic and deep generative models for multisite precipitation synthesis. CoRR abs/2107.08074 (2021) - [i2]Dário Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny, Campbell D. Watson:
Controlling Weather Field Synthesis Using Variational Autoencoders. CoRR abs/2108.00048 (2021) - [i1]Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood:
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR abs/2112.05254 (2021) - 2020
- [c1]Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger, Campbell D. Watson:
Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation. ISC Workshops 2020: 116-136
Coauthor Index
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