Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. - Umberto Picchini; Susanne Ditlevsen; Andrea De Gaetano; Petr Lánský (Neural Comput., 2008)

Practical estimation of high dimensional stochastic differential mixed-effects models. - Umberto Picchini; Susanne Ditlevsen (Comput. Stat. Data Anal., 2011)

Approximate maximum likelihood estimation using data-cloning ABC. - Umberto Picchini; Rachele Anderson (Comput. Stat. Data Anal., 2017)

Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models. - Umberto Picchini; Adeline Samson (Comput. Stat., 2018)

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

Likelihood-free stochastic approximation EM for inference in complex models. - Umberto Picchini (Commun. Stat. Simul. Comput., 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)

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)

Jana: Jointly amortized neural approximation of complex Bayesian models. - Stefan T. Radev; Marvin Schmitt; Valentin Pratz; Umberto Picchini; Ullrich Köthe; Paul-Christian Bürkner (UAI, 2023)

Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. - Henrik Häggström; Pedro L. C. Rodrigues; Geoffroy Oudoumanessah; Florence Forbes; Umberto Picchini (Trans. Mach. Learn. Res., 2024)