96 citations · 264 across the 13 of their papers we have counts for
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q-bio.NC2018
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David G. T. Barrett, Ari S. Morcos, Jakob H. Macke
Deep neural networks (DNNs) transform stimuli across multiple processing stages to produce representations that can be used to solve complex tasks, such as object recognition in im…
stat.ML2018
Likelihood-free inference with emulator networks
Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos +1
Approximate Bayesian Computation (ABC) provides methods for Bayesian inference in simulation-based stochastic models which do not permit tractable likelihoods. We present a new ABC…