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Influence-Aware Attention for Multivariate Temporal Point Processes., , , , and . CLeaR, volume 213 of Proceedings of Machine Learning Research, page 499-517. PMLR, (2023)HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management., , , and . ICKG, page 180-187. IEEE, (2022)Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation., , , and . BCB, page 46:1-46:10. ACM, (2021)Supervised Mixture Models for Population Health., , , , , , and . BIBM, page 1057-1064. IEEE, (2019)Causal Inference for Event Pairs in Multivariate Point Processes., , , , , and . NeurIPS, page 17311-17324. (2021)Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation., , , and . AAAI, page 12189-12197. AAAI Press, (2023)Predictive Modeling for Complex Care Management., , , , , and . BIBM, page 1443-1448. IEEE, (2021)Self-Supervised Contrastive Pre-Training for Multivariate Point Processes., , , , and . CoRR, (2024)Concurrent Multi-Label Prediction in Event Streams., , , , and . AAAI, page 9820-9828. AAAI Press, (2023)Probabilistic Attention-to-Influence Neural Models for Event Sequences., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 31657-31674. PMLR, (2023)