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| Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information | Jun 21, 2019 | MarketingPoint Processes | —Unverified | 0 | 0 |
| A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes | Dec 15, 2020 | DiversityEvolutionary Algorithms | —Unverified | 0 | 0 |
| Deep Linear Hawkes Processes | Dec 27, 2024 | Point ProcessesState Space Models | —Unverified | 0 | 0 |
| Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient | May 1, 2020 | Deep LearningDiversity | —Unverified | 0 | 0 |
| A Variational Auto-Encoder Model for Stochastic Point Processes | Apr 5, 2019 | Point Processes | —Unverified | 0 | 0 |
| Deep graph kernel point processes | Jun 20, 2023 | Point Processes | —Unverified | 0 | 0 |
| Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations | Feb 28, 2018 | Point ProcessesState Space Models | —Unverified | 0 | 0 |
| An Empirical Study of Continuous Connectivity Degree Sequence Equivalents | Nov 18, 2016 | Point Processes | —Unverified | 0 | 0 |
| Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches | Jan 24, 2025 | parameter estimationPoint Processes | —Unverified | 0 | 0 |
