2 papers
cs.LG2025
COFM: Consistent Optimal Transport Flow Matching via Partially Input Convex Neural Networks
Fanghui Song, Zhongjian Wang, Jiebao Sun
Optimal transport (OT) provides a principled framework for learning mappings between probability distributions, and has found broad applications in generative modeling, inverse pro…
math.OC2025
Distributed Time-Varying Optimization via Unbiased Extremum Seeking
Xuebin Li, Xuefei Yang, Emilia Fridman +2
This paper proposes a novel distributed optimization framework that addresses time-varying optimization problems without requiring explicit derivative information of the objective…