| Row-clustering of a Point Process-valued Matrix | Oct 4, 2021 | ClusteringPoint Processes | CodeCode Available | 0 |
| Coverage probability in wireless networks with determinantal scheduling | Jun 9, 2020 | Point ProcessesScheduling | CodeCode Available | 0 |
| Detecting discrete processes with the Epps effect | May 21, 2020 | Point Processes | CodeCode Available | 0 |
| Meta Temporal Point Processes | Jan 27, 2023 | Meta-LearningPoint Processes | CodeCode Available | 0 |
| A Review of Network Inference Techniques for Neural Activation Time Series | Jun 20, 2018 | Point ProcessesTime Series | CodeCode Available | 0 |
| Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes | Dec 5, 2022 | Computational EfficiencyGraph Representation Learning | CodeCode Available | 0 |
| Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions | Jul 7, 2021 | Model SelectionPoint Processes | CodeCode Available | 0 |
| Optimized Algorithms to Sample Determinantal Point Processes | Feb 23, 2018 | Point Processes | CodeCode Available | 0 |
| SimHawNet: A Modified Hawkes Process for Temporal Network Simulation | Mar 14, 2022 | BIG-bench Machine LearningLink Prediction | CodeCode Available | 0 |
| A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks | May 19, 2022 | Point Processes | CodeCode Available | 0 |
