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cs.LG2025
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Jipeng Li, Yanning Shen
Explicit noise-level conditioning is widely regarded as essential for the effective operation of Graph Diffusion Models (GDMs). In this work, we challenge this assumption by invest…
cs.LG2025
Multi-model Online Conformal Prediction with Graph-Structured Feedback
Erfan Hajihashemi, Yanning Shen
Online conformal prediction has demonstrated its capability to construct a prediction set for each incoming data point that covers the true label with a predetermined probability.…