4 citations · 9 across the 30 of their papers we have counts for
4 papers · 1 filter
When do explicit penalties improve flow matching?
Lea Kunkel, Alberto González-Sanz, Sophie Langer
Flow matching can learn structure directly from data, raising the question of when additional constraints improve generation. We study penalties that encode such constraints, with…
Mode Collapse of Mean-Field Variational Inference
Shunan Sheng, Bohan Wu, Alberto González-Sanz
Mean-field variational inference (MFVI) is a widely used method for approximating high-dimensional probability distributions by product measures. It has been empirically observed t…
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning
Lucas de Lara, Mathis Deronzier, Alberto González-Sanz +1
The push-forward operation enables one to redistribute a probability measure through a deterministic map. It plays a key role in statistics and optimization: many learning problems…
GAN Estimation of Lipschitz Optimal Transport Maps
Alberto González-Sanz, Lucas de Lara, Louis Béthune +1
This paper introduces the first statistically consistent estimator of the optimal transport map between two probability distributions, based on neural networks. Building on theoret…