212 citations · 799 across the 27 of their papers we have counts for
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cs.LG2026
Muon Learns Facts Better: Understanding the Role of Spectral Orthogonalization
Xuheng Li, Qiwei Di, Yuan Cao +1
The Muon optimizer applies spectral orthogonalization to matrix-valued updates and has shown strong performance in large-scale neural network training, yet the mechanisms of this t…
cs.LG2026
Leveraging Inference-Time Compute for Diffusion Models via Global Scheduling of Denoising Trajectories
Yuan Cao, Yifu Tang, Hangqi Li +1
Diffusion models generate a sample by traversing a denoising trajectory, a sequence of stochastic noise-reduction steps that transforms pure noise into a draw from a target distrib…
stat.AP2026
Learning CNN Filters via Generalized Stein's Method
Guang Yang, Wei Shi, Yuan Cao +1
Convolutional Neural Networks (CNNs) have undoubtedly revolutionized image data analysis and the field of computer vision. As the cornerstone of CNNs, the convolution operation ena…