| Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes | Dec 5, 2022 | Computational EfficiencyGraph Representation Learning | CodeCode Available | 0 | 5 |
| Intensity-Free Learning of Temporal Point Processes | Sep 26, 2019 | Point Processes | CodeCode Available | 0 | 5 |
| A topological data analysis based classification method for multiple measurements | Apr 5, 2019 | Classificationfeature selection | CodeCode Available | 0 | 5 |
| A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering | Jan 31, 2017 | Bayesian InferenceClustering | CodeCode Available | 0 | 5 |
| Exact sampling of determinantal point processes with sublinear time preprocessing | May 31, 2019 | Point Processes | CodeCode Available | 0 | 5 |
| Fully Neural Network based Model for General Temporal Point Processes | May 23, 2019 | Point ProcessesTime Series | CodeCode Available | 0 | 5 |
| 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 | 5 |
| SimHawNet: A Modified Hawkes Process for Temporal Network Simulation | Mar 14, 2022 | BIG-bench Machine LearningLink Prediction | CodeCode Available | 0 | 5 |
| Batch Active Learning Using Determinantal Point Processes | Jun 19, 2019 | Active LearningDiversity | CodeCode Available | 0 | 5 |
| Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel | Feb 26, 2021 | Bayesian OptimizationPoint Processes | CodeCode Available | 0 | 5 |
| Faster Greedy MAP Inference for Determinantal Point Processes | Mar 9, 2017 | Point Processes | CodeCode Available | 0 | 5 |
| Batched High-dimensional Bayesian Optimization via Structural Kernel Learning | Mar 6, 2017 | Bayesian OptimizationPoint Processes | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Entropic Trace Estimates for Log Determinants | Apr 24, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Exact Bayesian Gaussian Cox Processes Using Random Integral | Jun 28, 2024 | Data AugmentationPoint Processes | CodeCode Available | 0 | 5 |
| Retrieval of Temporal Event Sequences from Textual Descriptions | Oct 17, 2024 | Point ProcessesRetrieval | 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 |
| Fast Estimation of Causal Interactions using Wold Processes | Jul 12, 2018 | Point Processes | CodeCode Available | 0 | 5 |
| Interacting Diffusion Processes for Event Sequence Forecasting | Oct 26, 2023 | DenoisingPoint Processes | CodeCode Available | 0 | 5 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 | 5 |
| Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series | Apr 30, 2020 | Causal InferencePoint Processes | CodeCode Available | 0 | 5 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 | 5 |
| A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks | May 19, 2022 | 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 |
| Diverse Online Feature Selection | Jun 12, 2018 | Diversityfeature selection | CodeCode Available | 0 | 5 |
