High-Dimensional Simulation-Based Inference in Latent Spaces
Neural simulation-based inference (SBI) has been widely successful in inferring a relatively small number of interpretable parameters from potentially high-dimensional observations, such as images or time series. Accordingly, representation learning in SBI has focused almost exclusively on compressing the observations...
Lars Kuhmichel, Stefan T. Radev, B. Koppolu et al.
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