BibTeX

@article{2507.00514v1,
Author        = {Leander Thiele and Adrian E. Bayer and Naoya Takeishi},
Title         = {Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI},
Eprint        = {2507.00514v1},
ArchivePrefix = {arXiv},
PrimaryClass  = {astro-ph.CO},
Abstract      = {The simulation cost for cosmological simulation-based inference can be
decreased by combining simulation sets of varying fidelity. We propose an
approach to such multi-fidelity inference based on feature matching and
knowledge distillation. Our method results in improved posterior quality,
particularly for small simulation budgets and difficult inference problems.},
Year          = {2025},
Month         = {Jul},
Url           = {http://arxiv.org/abs/2507.00514v1},
File          = {2507.00514v1.pdf}
}