Author

Khaled Kahouli

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#machine learning Preprint Oct 2026

Data Free Training of Diffusion Models for Lattice Field Theories

Sampling equilibrium field configurations remains a major computational bottleneck in lattice field theory, motivating the development of generative samplers that can produce independent configurations. Diffusion models are promising for this purpose, but their standard denoising score matching objective requires sampl...

Dennis Grinwald, A. Singha, Khaled Kahouli et al. · 0 citations

#machine learning Dec 2025

Control Variate Score Matching for Diffusion Models

The Control Variate Score Identity (CVSI) is introduced, an unbiased estimator with an analytically optimal, state- and time-dependent control coefficient that theoretically minimizes variance over the entire diffusion process in data-free sampler learning and training-free diffusion sampling.

Khaled Kahouli, R. Élie, Klaus-Robert Müller et al. · arXiv.org · 5 citations · ⚡1