schrödinger bridge
An optimization framework in probabilistic modeling that seeks the most efficient trajectory or interpolation between two probability distributions, informing applications in generative tasks and stochastics.
- Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
- Exponential Convergence Guarantees for Iterative Markovian Fitting
- Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
- Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free
- Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
- Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
- Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action