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Found 4 papers, 3 papers with code
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science
To demonstrate how these distances are used in practice, we evaluate generative models from different scientific domains, namely a model of decision making and a model generating medical images.
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Scientific modeling applications often require estimating a distribution of parameters consistent with a dataset of observations - an inference task also known as source distribution estimation.
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Generalized Bayesian Inference (GBI) aims to robustify inference for (misspecified) simulator models, replacing the likelihood-function with a cost function that evaluates the goodness of parameters relative to data.
SoK: Vehicle Orientation Representations for Deep Rotation Estimation
In recent years, there is an influx of deep learning models for 3D vehicle object detection.
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