2 papers
cs.LG2026
Physics-Informed Neural PDE Solvers via Spatio-Temporal MeanFlow
Hanru Bai, Yuncheng Zhou, Difan Zou
Deep learning paradigms, such as PINNs and neural operators, have significantly advanced the solving of PDEs. However, they often struggle to capture the continuous integral nature…
cs.LG2025
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
Hanru Bai, Weiyang Ding, Difan Zou
Diffusion models have achieved impressive success in high-fidelity image generation but suffer from slow sampling due to their inherently iterative denoising process. While recent…