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Neural Information Processing Systems 

Is the sequential or alternating training scheme better (R4)? Comparisontoautoencoders(AEs),VAEs,GANs(R1,R2,R3).Weagreethatacomparisonto(V)AEsandGANs27 on generative and dimensionality reduction tasks would be very interesting. In the particle physics task, it seems unfair to compare on a new metric of inference of underlying parame-36 ters(R1). Likelihood-free inference(LFI) is its own thriving research area with applications from neuroscience to38 epidemiology.

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