| A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users | Jan 6, 2025 | Causal InferencePoint Processes | —Unverified | 0 |
| Deep Linear Hawkes Processes | Dec 27, 2024 | Point ProcessesState Space Models | —Unverified | 0 |
| Applying the maximum entropy principle to neural networks enhances multi-species distribution models | Dec 26, 2024 | Point Processes | —Unverified | 0 |
| Preventing Conflicting Gradients in Neural Marked Temporal Point Processes | Dec 11, 2024 | Point Processes | —Unverified | 0 |
| Limit Order Book Event Stream Prediction with Diffusion Model | Nov 27, 2024 | DenoisingPoint Processes | —Unverified | 0 |
| Unsupervised Event Outlier Detection in Continuous Time | Nov 25, 2024 | Anomaly DetectionData Augmentation | —Unverified | 0 |
| A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior | Nov 7, 2024 | ClusteringDiversity | —Unverified | 0 |
| Optimal Execution under Incomplete Information | Nov 7, 2024 | Point Processes | —Unverified | 0 |
| Integrating RIS into HAP Networks for Improved Connectivity | Nov 6, 2024 | Point Processes | —Unverified | 0 |
| Point processes with event time uncertainty | Nov 5, 2024 | Point Processes | —Unverified | 0 |
