Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Learning Discrete Diffusion of Graphs via Free-Energy Gradient Flows
Dario Rancati, Jan Maas, Francesco Locatello
Diffusion-based models on continuous spaces have seen substantial recent progress through the mathematical framework of gradient flows, leveraging the Wasserstein-2 () metri…
cs.LG2024
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction
Francesco Pedrotti, Jan Maas, Marco Mondelli
Score-based generative models (SGMs) are powerful tools to sample from complex data distributions. Their underlying idea is to (i) run a forward process for time by adding no…