| Bayesian experimental design using regularized determinantal point processes | Jun 10, 2019 | Experimental DesignPoint Processes | CodeCode Available | 0 | 5 |
| Diversity-Aware Batch Active Learning for Dependency Parsing | Apr 28, 2021 | Active LearningDependency Parsing | CodeCode Available | 0 | 5 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 | 5 |
| Exact Bayesian Gaussian Cox Processes Using Random Integral | Jun 28, 2024 | Data AugmentationPoint Processes | CodeCode Available | 0 | 5 |
| Hawkes Process Based on Controlled Differential Equations | May 9, 2023 | Irregular Time SeriesPoint Processes | CodeCode Available | 0 | 5 |
| MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records | Dec 8, 2019 | AttributePoint Processes | CodeCode Available | 0 | 5 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 0 | 5 |
| Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences | Feb 17, 2022 | Point ProcessesRetrieval | CodeCode Available | 0 | 5 |
| On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data | Jun 29, 2023 | DecoderPoint Processes | CodeCode Available | 0 | 5 |
| XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications | Feb 3, 2024 | Point Processes | CodeCode Available | 0 | 5 |
