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most citedFirst-Passage Approach to Optimizing Perturbations for Improved Training of Machine Learning Models

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physics.comp-ph2026

Using Diffusion Models to Estimate Uncertainties in Analytic Continuation

Sagi Meir, Daniel Freedman, Barak Hirshberg

Inverse problems are ubiquitous in physics, chemistry, and engineering, arising when reconstructing hidden quantities from indirect measurements. A key example is the analytic cont…