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06/14/2023
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
Modern climate projections lack adequate spatial and temporal resolution...
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01/05/2023
Teaching Computer Vision for Ecology
Computer vision can accelerate ecology research by automating the analys...
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07/23/2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
Numerical simulations in climate, chemistry, or astrophysics are computa...
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09/17/2021
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data
The transition to green energy grids depends on detailed wind and solar ...
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05/05/2021
PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
Climate models project an uncertainty range of possible warming scenario...
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04/11/2021
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks
Deep learning-based models have recently outperformed state-of-the-art s...
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04/10/2021
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization
As climate change increases the intensity of natural disasters, society ...
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12/02/2020
Graph Neural Networks for Improved El Niño Forecasting
Deep learning-based models have recently outperformed state-of-the-art s...
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10/16/2020
Physics-informed GANs for Coastal Flood Visualization
As climate change increases the intensity of natural disasters, society ...
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04/21/2020
TrueBranch: Metric Learning-based Verification of Forest Conservation Projects
International stakeholders increasingly invest in offsetting carbon emis...
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12/17/2019
Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts
An increasing amount of companies and cities plan to become CO2-neutral,...
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10/28/2019
Certified Adversarial Robustness for Deep Reinforcement Learning
Deep Neural Network-based systems are now the state-of-the-art in many r...
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10/19/2018