Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI

• URL: http://arxiv.org/abs/2507.00514v1
• Date: Tue, 01 Jul 2025 07:28:35 GMT
• Title: Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI
• Authors: Leander Thiele, Adrian E. Bayer, Naoya Takeishi,
• Abstract summary: We propose an approach to such multi-fidelity inference based on feature matching and knowledge distillation.<n>Our method results in improved posterior quality, particularly for small simulation budgets and difficult inference problems.
• Score: 4.305609786219493
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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