| THAP: A Matlab Toolkit for Learning with Hawkes Processes | Aug 28, 2017 | Point Processes | CodeCode Available | 0 |
| An information-theoretic framework to measure the dynamic interaction between neural spike trains | Dec 15, 2020 | Point Processes | CodeCode Available | 0 |
| Intensity-free Integral-based Learning of Marked Temporal Point Processes | Aug 4, 2023 | Point Processes | CodeCode Available | 0 |
| Intensity-Free Learning of Temporal Point Processes | Sep 26, 2019 | Point Processes | CodeCode Available | 0 |
| Interacting Diffusion Processes for Event Sequence Forecasting | Oct 26, 2023 | DenoisingPoint Processes | CodeCode Available | 0 |
| Intermittent Demand Forecasting with Deep Renewal Processes | Nov 23, 2019 | Demand ForecastingPoint Processes | CodeCode Available | 0 |
| Scalable Log Determinants for Gaussian Process Kernel Learning | Nov 9, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| Mutually exciting point process graphs for modelling dynamic networks | Feb 11, 2021 | Anomaly DetectionPoint Processes | CodeCode Available | 0 |
| Mutually Regressive Point Processes | Dec 1, 2019 | Bayesian InferencePoint Processes | CodeCode Available | 0 |
| Is Score Matching Suitable for Estimating Point Processes? | Oct 5, 2024 | Point Processes | CodeCode Available | 0 |
