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cs.LG2026
Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
MoonJeong Park, Seungbeom Lee, Kyungmin Kim +5
Many existing transductive bounds rely on classical complexity measures that are computationally intractable and often misaligned with empirical behavior. In this work, we establis…
cs.LG2026
Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
Seokwon Yoon, Youngbin Choi, Seunghyuk Cho +3
Generative Flow Networks (GFlowNets) learn to sample diverse candidates in proportion to a reward function, making them well-suited for scientific discovery, where exploring multip…