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S. Meir

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Preprint Aug 2026

Using Diffusion Models to Estimate Uncertainties in Analytic Continuation

Inverse problems are ubiquitous in physics, chemistry, and engineering, arising when reconstructing hidden quantities from indirect measurements. A key example is the analytic continuation of imaginary-time correlation functions (iTCFs) to the real-frequency domain. This process requires an inverse Laplace transform, w...

S. Meir, Daniel Freedman, B. Hirshberg · 0 citations

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)

Experiments on three LLMs across coding, math, and reasoning benchmarks demonstrate that ReD substantially reduces the required attempts, tokens, and USD cost to reach a desired coverage, while also offering an efficient way to measure inference power-laws.

S. Meir, Tommer D. Keidar, Noam Levi et al. · 3 citations

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