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cs.LG2026

Foundation Models for Event Prediction Across Heterogeneous Event Logs

Fabian Spaeh, Sean Jaffe, Shandian Zhe +1

Event logs are ubiquitous across real-world domains, including business processes, manufacturing workflows, healthcare, and many other operational systems. Yet event logs can diffe…

cs.LG2026

Universal Multi-Modal Traceformer: Integrating Heterogeneous Context for Process Event Prediction

Fabian Spaeh, Jingxing Fang, Shandian Zhe +1

Event logs arise in a wide range of real-world processes, capturing not only event activities and timestamps but also multi-modal contextual information. Existing event-sequence mo…

cs.LG2026

Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling

Zhitong Xu, Qiwei Yuan, Yinghao Chen +2

Multi-class event streams arise in numerous real-world applications, where uncovering structured, interpretable inter-event relationships, together with accurate prediction, remain…

cs.LG2026

Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events

Keyan Chen, Qiwei Yuan, Zhitong Xu +2

Events in spatiotemporal systems are ubiquitous, yet modeling their complex distributions remains challenging. Existing point process models often rely on strong structural assumpt…

cs.LG2026

Kronecker-Structured Nonparametric Spatiotemporal Point Processes

Zhitong Xu, Qiwei Yuan, Yinghao Chen +3

Events in spatiotemporal domains arise in numerous real-world applications, where uncovering event relationships and enabling accurate prediction are central challenges. Classical…