5 papers · 1 filter
QAM: Quadratic-Accurate Checkpoint Merging via Sequential Consistency
Shihao Wang, Rui Kong, Xinran Chen +7
Saved checkpoints record states along a training trajectory, but generally do not determine the updates at states that would be visited under a different schedule. We study how acc…
When Does Forecasting Reveal Temporal Structure? A Stability Analysis of Time-Series Structural Selection
Qipeng Qian, Yuntao Qian
Forecast accuracy is often used as a proxy for temporal structure discovery, but predictive performance and structural identifiability are not equivalent. Different temporal mechan…
An Hybrid Quantum-Classical Diffusion Model for Image Generation
Qipeng Qian, Keli Deng, Yuntao Qian
Quantum diffusion models provide a physics-consistent route to generative learning by formulating noising and denoising directly on quantum states. However, applying such models to…
Learning Heat-based Equations in Self-similar variables
Shihao Wang, Qipeng Qian, Jingquan Wang
We study solution learning for heat-based equations in self-similar variables (SSV). We develop an SSV training framework compatible with standard neural-operator training. We inst…
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting
Qipeng Qian, Tanwi Mallick
Traffic forecasting is the foundation for intelligent transportation systems. Spatiotemporal graph neural networks have demonstrated state-of-the-art performance in traffic forecas…