8 citations · 33 across the 38 of their papers we have counts for
5 papers · 1 filter
Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
Carles Domingo-Enrich, Jiequn Han
Reward fine-tuning of diffusion and flow models and sampling from tilted or Boltzmann distributions can both be formulated as stochastic optimal control (SOC) problems, where learn…
Stochastic Optimal Control Matching
Carles Domingo-Enrich, Jiequn Han, Brandon Amos +2
Stochastic optimal control, which has the goal of driving the behavior of noisy systems, is broadly applicable in science, engineering and artificial intelligence. Our work introdu…
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
Carles Domingo-Enrich, Aram-Alexandre Pooladian
Let be some (possibly non-convex) potential function, and consider the probability measure . When exhibits multiple modes…
Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis
Carles Domingo-Enrich
When solving finite-sum minimization problems, two common alternatives to stochastic gradient descent (SGD) with theoretical benefits are random reshuffling (SGD-RR) and shuffle-on…
Average-case Acceleration for Bilinear Games and Normal Matrices
Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
Advances in generative modeling and adversarial learning have given rise to renewed interest in smooth games. However, the absence of symmetry in the matrix of second derivatives p…