We propose Discrete Diffusion Bridges (DDB), a novel framework designed to resolve the fundamental spatiotemporal misalignment of standard discrete diffusion in image translation and generation. By corrupting data into a pure mask state via a random schedule, the conventional forward process induces a twofold misalignm...
Xing Xie, Jiawei Liu, Shi-Jun Zhou et al.· 0 citations
This paper proposes Adaptive Event Driven Labeling (AEDL), a novel neurosymbolic framework that synthesizes unstructured semantic data with formal causal inference to disentangle simultaneous supply and demand shocks and introduces a Heterogeneous Multiagent Discussion (HAD) architecture.
Game Theoretic Anticipatory Continual Graph Learning (GT-ACGL), a framework that casts fraud detection as a continuous Stackelberg game between a defender and an adaptive adversary, and encourages decision boundaries that remain comparatively stable under strategic structural perturbation.
Hui-Jie Fan, Ya-Nan Jiao, M. Wang et al.· Scientific Reports· 2 citations
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