Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings
Journal article, 2024
simulation-based inference
likelihood-free
SBI
Bayesian inference
mixture models
Author
Henrik Häggström
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
University of Gothenburg
Pedro Rodrigues
Institut National de Recherche en Informatique et en Automatique (INRIA)
Geoffroy Oudoumanessah
Institut National de Recherche en Informatique et en Automatique (INRIA)
Florence Forbes
Institut National de Recherche en Informatique et en Automatique (INRIA)
Umberto Picchini
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
University of Gothenburg
Transactions on Machine Learning Research
2835-8856 (ISSN)
Statistical Inference and Stochastic Modelling of Protein Folding
Swedish Research Council (VR) (2013-5167), 2014-01-01 -- 2019-12-31.
Deep learning and likelihood-free Bayesian inference for stochastic modelling
Swedish Research Council (VR) (2019-03924), 2020-01-01 -- 2023-12-31.
Chalmers AI Research Centre (CHAIR), 2020-01-01 -- 2024-12-31.
Subject Categories (SSIF 2011)
Computational Mathematics
Probability Theory and Statistics
Computer Science