dida publishes new research in the Journal of Machine Learning Research (JMLR)

We are excited to share that our research has been published in the Journal of Machine Learning Research (JMLR), one of the most respected journals in the field. You can find the paper here.

This new paper builds on the work from a previous study of ours, which received an outstanding paper award at the ICML’21 for its contributions to generative modeling and optimal transport. In this follow-up, we take a closer look at the underlying mathematical concepts and introduce practical methods for working with high-dimensional and complex data. The paper also explores new ways to solve related optimization problems and demonstrates how these approaches can be applied in real-world settings.

We are happy to see our research evolve and to contribute further to the field. Many thanks to JMLR for publishing our work and to everyone who has supported us along the way.