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cs.LG2026
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
Peng He, Yao Liu, Yanglei Gan +3
While Transformer-based architectures have established themselves as a dominant paradigm in Multivariate Time Series Forecasting (MTSF), their core self-attention mechanism inheren…
cs.LG2026
GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
Guanyu Zhou, Yao Liu, Yanglei Gan +5
Spatio-temporal point processes (STPPs) provide a principled framework for modeling asynchronous events in continuous time and space. Recent diffusion-based approaches offer a flex…
cs.LG2026
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
Yuxiang Liu, Qiao Liu, Tong Luo +3
Predicting irregularly spaced event sequences with discrete marks poses significant challenges due to the complex, asynchronous dependencies embedded within continuous-time data st…