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Found 3 papers, 2 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.
Truncated proposals for scalable and hassle-free simulation-based inference
TSNPE performs sequential inference with truncated proposals, sidestepping the optimisation issues of alternative approaches.
Adversarial Training of Neural Encoding Models on Population Spike Trains
Neural population responses to sensory stimuli can exhibit both nonlinear stimulus- dependence and richly structured shared variability.
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