2 papers
cs.LG2026
Generative Modeling via Kernelized Stochastic Interpolants
Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar +2
We develop a kernel method for generative modeling within the stochastic interpolant framework, replacing neural network training with linear systems. The drift of the generative S…
cs.CV2025
Beyond sparse denoising in frames: minimax estimation with a scattering transform
Nathanaël Cuvelle--Magar, Stéphane Mallat
A considerable amount of research in harmonic analysis has been devoted to non-linear estimators of signals contaminated by additive Gaussian noise. They are implemented by thresho…