Author

Daniel Freedman

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Preprint Oct 2026

Composing and Steering Diffusion Models with Generalized Feynman-Kac Correctors

Diffusion models have become the leading paradigm in generative modeling, yet many applications require sampling from distributions that are not those of any single pretrained model, but are instead defined through combinations of several models, possibly tilted toward high values of a downstream reward. Naively combin...

Wael Mattar, Daniel Freedman · 0 citations

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