3 papers
cs.LG2026
Information-Theoretic Classifier-Free Guidance with Adaptive Schedule Optimization
Haobo Chen, Xiangxiang Xu, Yuheng Bu
Diffusion models have achieved strong performance in image, text-to-image, and video generation, where conditional generation is often controlled by classifier-free guidance (CFG).…
cs.LG2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Maohao Shen, J. Jon Ryu, Soumya Ghosh +4
This paper questions the effectiveness of a modern predictive uncertainty quantification approach, called \emph{evidential deep learning} (EDL), in which a single neural network mo…
cs.IT2024
Information-theoretic Analysis of the Gibbs Algorithm: An Individual Sample Approach
Youheng Zhu, Yuheng Bu
Recent progress has shown that the generalization error of the Gibbs algorithm can be exactly characterized using the symmetrized KL information between the learned hypothesis and…