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Found 4 papers, 0 papers with code
Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts
The cWGAN is used to produce samples of likely fire arrival times from the conditional distribution of arrival times given satellite active fire detections.
Efficient posterior inference & generalization in physics-based Bayesian inference with conditional GANs
In this work, we propose a conditional generative adversarial network (cGAN) to sample from the posterior of physics-based Bayesian inference problems.
Bayesian Inference in Physics-Driven Problems with Adversarial Priors
Generative adversarial networks (GANs) have found multiple applications in the solution of inverse problems in science and engineering.
Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative
We conclude that radiomic features calculated using different software programs may not be identical and reliable.
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