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Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions.

, , , and . KDD, page 986-994. ACM, (2021)

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Thinning for Accelerating the Learning of Point Processes., and . NeurIPS, page 4093-4103. (2019)D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory., , , , , , , , and . ICLR, OpenReview.net, (2023)Transfer Hawkes Processes with Content Information., , and . ICDM, page 1116-1121. IEEE Computer Society, (2018)Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training., , , , and . IJCNN, page 1-7. IEEE, (2021)Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks., and . AAAI, page 4699-4706. AAAI Press, (2020)Advanced hawkes processes for practical event sequence analysis : models and accelerations. Nanyang Technological University, Singapore, (2021)An Active Steering Soft Robot for Small-Bore T-Branch Pipeline., , , , , , and . ICIRA (2), volume 11741 of Lecture Notes in Computer Science, page 556-567. Springer, (2019)Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 8565-8584. PMLR, (2023)Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments., , , and . KDD, page 2625-2635. ACM, (2020)Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions., , , and . KDD, page 986-994. ACM, (2021)