| Fully Neural Network based Model for General Temporal Point Processes | May 23, 2019 | Point ProcessesTime Series | CodeCode Available | 0 | 5 |
| Batched High-dimensional Bayesian Optimization via Structural Kernel Learning | Mar 6, 2017 | Bayesian OptimizationPoint Processes | CodeCode Available | 0 | 5 |
| Exact Bayesian Gaussian Cox Processes Using Random Integral | Jun 28, 2024 | Data AugmentationPoint Processes | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 | 5 |
| Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | May 31, 2019 | DecoderDocument Summarization | CodeCode Available | 0 | 5 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 | 5 |
| Retrieval of Temporal Event Sequences from Textual Descriptions | Oct 17, 2024 | Point ProcessesRetrieval | CodeCode Available | 0 | 5 |
| Diverse Online Feature Selection | Jun 12, 2018 | Diversityfeature selection | CodeCode Available | 0 | 5 |
| Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes | Jan 9, 2024 | Conformal PredictionPoint Processes | CodeCode Available | 0 | 5 |
