3 papers
eess.IV2026
Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data
Harry Dong, Timofey Efimov, Megna Shah +4
In spite of the utility of 3-D electron back-scattered diffraction (EBSD) microscopy, the data collection process can be time-consuming with serial-sectioning. Hence, it is natural…
cs.LG2026
Provably Efficient and Agile Randomized Q-Learning
He Wang, Xingyu Xu, Yuejie Chi
While Bayesian-based exploration often demonstrates superior empirical performance compared to bonus-based methods in model-based reinforcement learning (RL), its theoretical under…
cs.LG2026
Polynomial Convergence of Riemannian Diffusion Models
Xingyu Xu, Ziyi Zhang, Yorie Nakahira +2
Diffusion models have demonstrated remarkable empirical success in the recent years and are considered one of the state-of-the-art generative models in modern AI. These models cons…