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02/12/2021
Sequential Neural Posterior and Likelihood Approximation
We introduce the sequential neural posterior and likelihood approximatio...
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07/23/2019
Efficient inference for stochastic differential mixed-effects models using correlated particle pseudo-marginal algorithms
We perform fully Bayesian inference for stochastic differential equation...
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01/29/2019
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
We present a novel family of deep neural architectures, named partially ...
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06/15/2018