| Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process | Jan 24, 2023 | Point Processes | CodeCode Available | 0 |
| Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation | Jan 24, 2023 | Bayesian OptimisationDecision Making | —Unverified | 0 |
| Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network | Jan 20, 2023 | Graph Neural NetworkKnowledge Graphs | CodeCode Available | 0 |
| Cox Point Processes for Multi Altitude LEO Satellite Networks | Jan 6, 2023 | Point Processes | —Unverified | 0 |
| Modeling Time-Series and Spatial Data for Recommendations and Other Applications | Dec 25, 2022 | Activity PredictionPoint Processes | —Unverified | 0 |
| Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks | Dec 12, 2022 | Point ProcessesPosition | —Unverified | 0 |
| A Novel Analytical Model for LEO and MEO Satellite Networks based on Cox Point Processes | Dec 7, 2022 | Point Processes | —Unverified | 0 |
| Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes | Dec 5, 2022 | Computational EfficiencyGraph Representation Learning | CodeCode Available | 0 |
| Scalable and adaptive variational Bayes methods for Hawkes processes | Dec 1, 2022 | Data AugmentationPoint Processes | —Unverified | 0 |
| Diverse Multi-Answer Retrieval with Determinantal Point Processes | Nov 29, 2022 | Open-Domain Question AnsweringPoint Processes | —Unverified | 0 |
