| Stopping Methods for Technology Assisted Reviews based on Point Processes | Nov 14, 2023 | Point ProcessesTAR | CodeCode Available | 0 |
| Low-Rank Factorization of Determinantal Point Processes for Recommendation | Feb 17, 2016 | DiversityPoint Processes | CodeCode Available | 0 |
| Imitation Learning of Neural Spatio-Temporal Point Processes | Jun 13, 2019 | Computational EfficiencyImitation Learning | CodeCode Available | 0 |
| A Model-Free Method to Quantify Memory Utilization in Neural Point Processes | Aug 28, 2024 | Point Processes | CodeCode Available | 0 |
| Adaptive Sampling for Stochastic Risk-Averse Learning | Oct 28, 2019 | Point Processes | CodeCode Available | 0 |
| Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains | Apr 11, 2016 | Point Processes | CodeCode Available | 0 |
| On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data | Jun 29, 2023 | DecoderPoint Processes | CodeCode Available | 0 |
| Small coresets via negative dependence: DPPs, linear statistics, and concentration | Nov 1, 2024 | Point Processes | CodeCode Available | 0 |
| MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records | Dec 8, 2019 | AttributePoint Processes | CodeCode Available | 0 |
| Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process | Jan 24, 2023 | Point Processes | CodeCode Available | 0 |
| Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | May 31, 2019 | DecoderDocument Summarization | CodeCode Available | 0 |
| Active Mini-Batch Sampling using Repulsive Point Processes | Apr 8, 2018 | Point Processes | CodeCode Available | 0 |
| Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions | Sep 23, 2019 | Dynamic Link PredictionLink Prediction | CodeCode Available | 0 |
| Fully Neural Network based Model for General Temporal Point Processes | May 23, 2019 | Point ProcessesTime Series | CodeCode Available | 0 |
| DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization | Jul 26, 2022 | Point Processes | CodeCode Available | 0 |
| Row-clustering of a Point Process-valued Matrix | Oct 4, 2021 | ClusteringPoint Processes | CodeCode Available | 0 |
| Coverage probability in wireless networks with determinantal scheduling | Jun 9, 2020 | Point ProcessesScheduling | CodeCode Available | 0 |
| Detecting discrete processes with the Epps effect | May 21, 2020 | Point Processes | CodeCode Available | 0 |
| Meta Temporal Point Processes | Jan 27, 2023 | Meta-LearningPoint Processes | CodeCode Available | 0 |
| A Review of Network Inference Techniques for Neural Activation Time Series | Jun 20, 2018 | Point ProcessesTime Series | CodeCode Available | 0 |
| Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes | Dec 5, 2022 | Computational EfficiencyGraph Representation Learning | CodeCode Available | 0 |
| Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions | Jul 7, 2021 | Model SelectionPoint Processes | CodeCode Available | 0 |
| Optimized Algorithms to Sample Determinantal Point Processes | Feb 23, 2018 | Point Processes | CodeCode Available | 0 |
| SimHawNet: A Modified Hawkes Process for Temporal Network Simulation | Mar 14, 2022 | BIG-bench Machine LearningLink Prediction | CodeCode Available | 0 |
| A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks | May 19, 2022 | Point Processes | CodeCode Available | 0 |
