Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. - Samuel Wiqvist; Pierre-Alexandre Mattei; Umberto Picchini; Jes Frellsen (ICML, 2019)

Sequential Neural Posterior and Likelihood Approximation. - Samuel Wiqvist; Jes Frellsen; Umberto Picchini (CoRR, 2021)

Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms. - Samuel Wiqvist; Andrew Golightly; Ashleigh T. McLean; Umberto Picchini (Comput. Stat. Data Anal., 2021)

Simulation-based Inference: From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation. - Samuel Wiqvist (2021)

Scalable and flexible inference framework for stochastic dynamic single-cell models. - Sebastian Persson; Niek Welkenhuysen; Sviatlana Shashkova; Samuel Wiqvist; Patrick Reith; Gregor W. Schmidt; Umberto Picchini; Marija Cvijovic (PLoS Comput. Biol., 2022)