3 papers
stat.ML2025
Distribution estimation via Flow Matching with Lipschitz guarantees
Lea Kunkel
Flow Matching, a promising approach in generative modeling, has recently gained popularity. Relying on ordinary differential equations, it offers a simple and flexible alternative…
stat.ML2025
On the minimax optimality of Flow Matching through the connection to kernel density estimation
Lea Kunkel, Mathias Trabs
Flow Matching has recently gained attention in generative modeling as a simple and flexible alternative to diffusion models. While existing statistical guarantees adapt tools from…
math.ST2024
A Wasserstein perspective of Vanilla GANs
Lea Kunkel, Mathias Trabs
The empirical success of Generative Adversarial Networks (GANs) caused an increasing interest in theoretical research. The statistical literature is mainly focused on Wasserstein G…