| 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 |
| Online Estimation and Community Detection of Network Point Processes for Event Streams | Sep 3, 2020 | Community DetectionOnline Community Detection | CodeCode Available | 0 |
| Exact sampling of determinantal point processes with sublinear time preprocessing | May 31, 2019 | Point Processes | CodeCode Available | 0 |
| Variational Inference for Neyman-Scott Processes | Mar 7, 2023 | Point ProcessesVariational Inference | CodeCode Available | 0 |
| Differentiable Adversarial Attacks for Marked Temporal Point Processes | Jan 17, 2025 | Adversarial AttackPoint Processes | CodeCode Available | 0 |
| A topological data analysis based classification method for multiple measurements | Apr 5, 2019 | Classificationfeature selection | CodeCode Available | 0 |
| Sensing Cox Processes via Posterior Sampling and Positive Bases | Oct 21, 2021 | Experimental DesignPoint Processes | CodeCode Available | 0 |
| Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation | Nov 27, 2017 | Fact CheckingMisinformation | CodeCode Available | 0 |
| Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection | Jun 26, 2025 | Objectobject-detection | CodeCode Available | 0 |
| Local Independence Testing for Point Processes | Oct 25, 2021 | Point Processes | CodeCode Available | 0 |
| Determinantal thinning of point processes with network learning applications | Oct 9, 2018 | Point ProcessesScheduling | CodeCode Available | 0 |
| A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering | Jan 31, 2017 | Bayesian InferenceClustering | CodeCode Available | 0 |
| On sampling determinantal and Pfaffian point processes on a quantum computer | May 25, 2023 | Point Processes | CodeCode Available | 0 |
| Deep Neyman-Scott Processes | Nov 6, 2021 | Point Processes | CodeCode Available | 0 |
| Faster Greedy MAP Inference for Determinantal Point Processes | Mar 9, 2017 | Point Processes | CodeCode Available | 0 |
| Fast Estimation of Causal Interactions using Wold Processes | Jul 12, 2018 | Point Processes | CodeCode Available | 0 |
