3 papers
stat.ML2026
Training Latent Diffusion Models with Interacting Particle Algorithms
Tim Y. J. Wang, Juan Kuntz, O. Deniz Akyildiz
We introduce a novel particle-based algorithm for end-to-end training of latent diffusion models. We reformulate the training task as minimizing a free energy functional and obtain…
cs.LG2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
Rocco Caprio, Juan Kuntz, Samuel Power +1
We prove non-asymptotic error bounds for particle gradient descent (PGD, Kuntz et al., 2023), a recently introduced algorithm for maximum likelihood estimation of large latent vari…
cs.LG2024
Momentum Particle Maximum Likelihood
Jen Ning Lim, Juan Kuntz, Samuel Power +1
Maximum likelihood estimation (MLE) of latent variable models is often recast as the minimization of a free energy functional over an extended space of parameters and probability d…