3 papers
stat.ME2026
Pattern-Calibrated Multimodal Prediction under Blockwise Missingness
Junhan Yu, Kejian Zhang, Doudou Zhou +1
Blockwise missingness in multimodal data is usually treated as an incomplete-input problem. We instead focus on prediction for a prespecified observed-modality pattern, where the o…
cs.LG2026
From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
Xinzi Tan, Kejian Zhang, Junhan Yu +1
Marked Temporal Point Processes (MTPPs) arise naturally in medical, social, commercial, and financial domains. However, existing Transformer-based methods mostly inject temporal in…
stat.ME2026
Two-sample Testing with Block-wise Missingness in Multi-source Data
Kejian Zhang, Muxuan Liang, Robert Maile +1
Multi-source and multi-modal datasets are increasingly common in scientific research, yet they often exhibit block-wise missingness, where entire modalities are systematically abse…