Samuel Wiqvist

According to our database, Samuel Wiqvist authored at least 5 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

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

2021

Simulation-based Inference: From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation.

Samuel Wiqvist

PhD thesis, 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

Sequential Neural Posterior and Likelihood Approximation.

Samuel Wiqvist, Jes Frellsen, Umberto Picchini

CoRR, 2021

2019

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation.

Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini, Jes Frellsen

Proceedings of the 36th International Conference on Machine Learning, 2019