{"ID":2899526,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.00514","arxiv_id":"2507.00514","title":"Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI","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.","short_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 simula...","url_abs":"https://arxiv.org/abs/2507.00514","url_pdf":"https://arxiv.org/pdf/2507.00514v1","authors":"[\"Leander Thiele\",\"Adrian E. Bayer\",\"Naoya Takeishi\"]","published":"2025-07-01T07:28:35Z","proceeding":"astro-ph.CO","tasks":"[\"astro-ph.CO\",\"cs.LG\"]","methods":"[]","has_code":false}