Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
Abstract
The Schrödinger Bridge provides a principled framework for modeling stochastic processes between distributions; however, existing methods are limited by energy-conservation assumptions, which constrains the bridge's shape preventing it from model varying-energy phenomena. To overcome this, we introduce the non-conservative generalized Schrödinger bridge (NCGSB), a novel, energy-varying reformulation based on contact Hamiltonian mechanics. By allowing energy to change over time, the NCGSB provides a broader class of real-world stochastic processes, capturing richer and more faithful intermediate dynamics. By parameterizing the Wasserstein manifold, we lift the bridge problem to a tractable geodesic computation in a finite-dimensional space. Unlike computationally expensive iterative solutions, our contact Wasserstein geodesic (CWG) is naturally implemented via a ResNet architecture and relies on a non-iterative solver with near-linear complexity. Furthermore, CWG supports guided generation by modulating a task-specific distance metric. We validate our framework on tasks including manifold navigation, molecular dynamics predictions, and image generation, demonstrating its practical benefits and versatility.
Cite
Text
Testa et al. "Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges." International Conference on Learning Representations, 2026.Markdown
[Testa et al. "Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges." International Conference on Learning Representations, 2026.](https://mlanthology.org/iclr/2026/testa2026iclr-contact/)BibTeX
@inproceedings{testa2026iclr-contact,
title = {{Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges}},
author = {Testa, Andrea and Hauberg, Søren and Asfour, Tamim and Rozo, Leonel},
booktitle = {International Conference on Learning Representations},
year = {2026},
url = {https://mlanthology.org/iclr/2026/testa2026iclr-contact/}
}