| Wasserstein Learning of Deep Generative Point Process Models | May 23, 2017 | Point Processes | CodeCode Available | 0 |
| Probabilistic Generating Circuits | Feb 19, 2021 | Density EstimationPoint Processes | CodeCode Available | 0 |
| XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications | Feb 3, 2024 | Point Processes | CodeCode Available | 0 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| Probabilistic Modeling for Sequences of Sets in Continuous-Time | Dec 22, 2023 | Model SelectionPoint Processes | CodeCode Available | 0 |
| Batch Active Learning Using Determinantal Point Processes | Jun 19, 2019 | Active LearningDiversity | CodeCode Available | 0 |
| Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences | Feb 17, 2022 | Point ProcessesRetrieval | CodeCode Available | 0 |
| Exact Bayesian Gaussian Cox Processes Using Random Integral | Jun 28, 2024 | Data AugmentationPoint Processes | CodeCode Available | 0 |
| Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes | Jan 9, 2024 | Conformal PredictionPoint Processes | CodeCode Available | 0 |
| A weak MLMC scheme for Lévy-copula-driven SDEs with applications to the pricing of credit, equity and interest rate derivatives | Nov 4, 2022 | Point Processes | CodeCode Available | 0 |
