2 papers
cs.LG2026
Generative Model Proposal based Particle Filtering for Data Assimilation
Chandni Nagda, Mayank Shrivastava, Gudrun Thorkelsdottir +3
Data assimilation models state dynamics conditioned on sequential observations, and has wide-ranging scientific applications. In the filtering setting, the goal is to model the pos…
cs.LG2026
Gradual Fine-Tuning for Flow Matching Models
Gudrun Thorkelsdottir, Arindam Banerjee
Fine-tuning flow matching models is a central challenge in settings with limited data, evolving distributions, or computational constraints. While recent work has produced signific…