Jan 23 – 26, 2023
University of Amsterdam
Europe/Amsterdam timezone


The goal of this in-person workshop is to make progress in tackling the most difficult* parameter inference problems using state-of-the-art simulation-based inference techniques as implemented in Swyft**.

*Difficult = slow simulator/model; dozens, thousands or millions of parameters; complex posterior; unknown optimal summary statistics; ...

**Swyft is a pytorch-lightning-based implementation of truncated marginal neural ratio estimation (TMNRE), which is now successfully used for a diverse set of inference problems.


Swyft in action

Further information

The workshop is planned to be in-person. If you are interested to join online, please let us know. Depending on demand, we might change part of the workshop to a hybrid version.


University of Amsterdam
Science Park 904 1098XH Amsterdam