| Determinantal Point Processes for Coresets | Mar 23, 2018 | Point Processesregression | CodeCode Available | 0 | 5 |
| Active Mini-Batch Sampling using Repulsive Point Processes | Apr 8, 2018 | Point Processes | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Bayesian experimental design using regularized determinantal point processes | Jun 10, 2019 | Experimental DesignPoint Processes | CodeCode Available | 0 | 5 |
| Retrieval of Temporal Event Sequences from Textual Descriptions | Oct 17, 2024 | Point ProcessesRetrieval | CodeCode Available | 0 | 5 |
| Intensity-free Integral-based Learning of Marked Temporal Point Processes | Aug 4, 2023 | Point Processes | CodeCode Available | 0 | 5 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 0 | 5 |
| Low-Rank Factorization of Determinantal Point Processes for Recommendation | Feb 17, 2016 | DiversityPoint Processes | CodeCode Available | 0 | 5 |
| Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions | Jul 7, 2021 | Model SelectionPoint Processes | CodeCode Available | 0 | 5 |
| Imitation Learning of Neural Spatio-Temporal Point Processes | Jun 13, 2019 | Computational EfficiencyImitation Learning | CodeCode Available | 0 | 5 |
| Determinantal Beam Search | Jun 14, 2021 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Detecting weak changes in dynamic events over networks | Mar 29, 2016 | Change Point DetectionPoint Processes | —Unverified | 0 | 0 |
| Detecting Human Interventions on the Landscape: KAZE Features, Poisson Point Processes, and a Construction Dataset | Mar 29, 2017 | Point Processes | —Unverified | 0 | 0 |
| Detecting Anomalous Event Sequences with Temporal Point Processes | Jun 8, 2021 | Out of Distribution (OOD) DetectionPoint Processes | —Unverified | 0 | 0 |
| Batched Gaussian Process Bandit Optimization via Determinantal Point Processes | Nov 13, 2016 | Bayesian OptimizationDiversity | —Unverified | 0 | 0 |
| An Interpretable Determinantal Choice Model for Subset Selection | Feb 22, 2023 | Point Processes | —Unverified | 0 | 0 |
| Deep spatio-temporal point processes: Advances and new directions | Apr 8, 2025 | EpidemiologyPoint Processes | —Unverified | 0 | 0 |
| Deep Sigma Point Processes | Feb 21, 2020 | Gaussian ProcessesPoint Processes | —Unverified | 0 | 0 |
| Sequential Adversarial Anomaly Detection for One-Class Event Data | Oct 21, 2019 | Anomaly DetectionPoint Processes | —Unverified | 0 | 0 |
| Deep Random Splines for Point Process Intensity Estimation | Mar 27, 2019 | Gaussian ProcessesPoint Processes | —Unverified | 0 | 0 |
| Batch Active Learning of Reward Functions from Human Preferences | Feb 24, 2024 | Active LearningPoint Processes | —Unverified | 0 | 0 |
| Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information | Jun 21, 2019 | MarketingPoint Processes | —Unverified | 0 | 0 |
| A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes | Dec 15, 2020 | DiversityEvolutionary Algorithms | —Unverified | 0 | 0 |
| Deep Linear Hawkes Processes | Dec 27, 2024 | Point ProcessesState Space Models | —Unverified | 0 | 0 |
| Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient | May 1, 2020 | Deep LearningDiversity | —Unverified | 0 | 0 |
