| 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 |
| Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences | Feb 17, 2022 | Point ProcessesRetrieval | CodeCode Available | 0 | 5 |
| Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation | Nov 27, 2017 | Fact CheckingMisinformation | 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 |
| 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 |
| Local Independence Testing for Point Processes | Oct 25, 2021 | Point Processes | 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 |
| Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes | Jun 23, 2022 | Point ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Batched High-dimensional Bayesian Optimization via Structural Kernel Learning | Mar 6, 2017 | Bayesian OptimizationPoint Processes | CodeCode Available | 0 | 5 |
| Learning Hawkes Processes from Short Doubly-Censored Event Sequences | Feb 22, 2017 | Point Processes | CodeCode Available | 0 | 5 |
| Coverage probability in wireless networks with determinantal scheduling | Jun 9, 2020 | Point ProcessesScheduling | CodeCode Available | 0 | 5 |
| Learning Instance-Aware Object Detection Using Determinantal Point Processes | May 28, 2018 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Kronecker Determinantal Point Processes | May 26, 2016 | Point ProcessesStochastic Optimization | CodeCode Available | 0 | 5 |
| Intermittent Demand Forecasting with Deep Renewal Processes | Nov 23, 2019 | Demand ForecastingPoint Processes | 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 |
| Is Score Matching Suitable for Estimating Point Processes? | Oct 5, 2024 | Point Processes | CodeCode Available | 0 | 5 |
| Lazy and Fast Greedy MAP Inference for Determinantal Point Process | Jun 13, 2022 | Point Processes | CodeCode Available | 0 | 5 |
| Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data | Mar 16, 2018 | Link PredictionPoint Processes | CodeCode Available | 0 | 5 |
| Hawkes Process Based on Controlled Differential Equations | May 9, 2023 | Irregular Time SeriesPoint 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 |
| In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes | Sep 24, 2019 | Abstractive Text SummarizationDiversity | CodeCode Available | 0 | 5 |
| Fully Neural Network based Model for General Temporal Point Processes | May 23, 2019 | Point ProcessesTime Series | CodeCode Available | 0 | 5 |
| Fast Estimation of Causal Interactions using Wold Processes | Jul 12, 2018 | Point Processes | CodeCode Available | 0 | 5 |
| 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 Integral-based Learning of Marked Temporal Point Processes | Aug 4, 2023 | Point Processes | CodeCode Available | 0 | 5 |
| Exact sampling of determinantal point processes with sublinear time preprocessing | May 31, 2019 | Point Processes | CodeCode Available | 0 | 5 |
| Exact Bayesian Gaussian Cox Processes Using Random Integral | Jun 28, 2024 | Data AugmentationPoint Processes | CodeCode Available | 0 | 5 |
| A Review of Network Inference Techniques for Neural Activation Time Series | Jun 20, 2018 | Point ProcessesTime Series | CodeCode Available | 0 | 5 |
| Retrieval of Temporal Event Sequences from Textual Descriptions | Oct 17, 2024 | Point ProcessesRetrieval | CodeCode Available | 0 | 5 |
| Entropic Trace Estimates for Log Determinants | Apr 24, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Adaptive Sampling for Stochastic Risk-Averse Learning | Oct 28, 2019 | Point Processes | CodeCode Available | 0 | 5 |
| Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data | Aug 18, 2022 | Point Processes | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes | May 21, 2023 | Point 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 |
| Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process | Jan 24, 2023 | Point Processes | CodeCode Available | 0 | 5 |
| Event Outlier Detection in Continuous Time | Dec 19, 2019 | Outlier DetectionPoint Processes | CodeCode Available | 0 | 5 |
| Continuous DR-submodular Maximization: Structure and Algorithms | Nov 4, 2017 | Point Processes | CodeCode Available | 0 | 5 |
| Faster Greedy MAP Inference for Determinantal Point Processes | Mar 9, 2017 | Point Processes | CodeCode Available | 0 | 5 |
| Intensity-Free Learning of Temporal Point Processes | Sep 26, 2019 | Point Processes | 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 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 0 | 5 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 | 5 |
| Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes | Sep 23, 2021 | Point Processes | CodeCode Available | 0 | 5 |
| Cardinality-Regularized Hawkes-Granger Model | Aug 23, 2022 | Managementmodel | CodeCode Available | 0 | 5 |
| A Model-Free Method to Quantify Memory Utilization in Neural Point Processes | Aug 28, 2024 | Point Processes | CodeCode Available | 0 | 5 |
