Umberto Picchini

15 papers A* 1A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology. Stat. Comput. Henrik Häggström, Sebastian Persson, Marija Cvijovic, Umberto Picchini
2024	J	`jnl`	Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. CoRR Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini
2024	J	`jnl`	Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Trans. Mach. Learn. Res. Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini
2023	J	`jnl`	JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. CoRR Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner
2023	A	`conf`	Jana: Jointly amortized neural approximation of complex Bayesian models. UAI Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner
2022	J	`jnl`	Scalable and flexible inference framework for stochastic dynamic single-cell models. PLoS Comput. Biol. Sebastian Persson, Niek Welkenhuysen, Sviatlana Shashkova, Samuel Wiqvist, Patrick Reith, Gregor W. Schmidt, Umberto Picchini, Marija Cvijovic
2021	J	`jnl`	Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms. Comput. Stat. Data Anal. Samuel Wiqvist, Andrew Golightly, Ashleigh T. McLean, Umberto Picchini
2021	J	`jnl`	Sequential Neural Posterior and Likelihood Approximation. CoRR Samuel Wiqvist, Jes Frellsen, Umberto Picchini
2019	J	`jnl`	Likelihood-free stochastic approximation EM for inference in complex models. Commun. Stat. Simul. Comput. Umberto Picchini
2019	A*	`conf`	Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. ICML Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen
2019	J	`jnl`	Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. CoRR Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen
2018	J	`jnl`	Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models. Comput. Stat. Umberto Picchini, Adeline Samson
2017	J	`jnl`	Approximate maximum likelihood estimation using data-cloning ABC. Comput. Stat. Data Anal. Umberto Picchini, Rachele Anderson
2011	J	`jnl`	Practical estimation of high dimensional stochastic differential mixed-effects models. Comput. Stat. Data Anal. Umberto Picchini, Susanne Ditlevsen
2008	J	`jnl`	Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. Neural Comput. Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano, Petr Lánský