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| On sampling determinantal and Pfaffian point processes on a quantum computer | May 25, 2023 | Point Processes | CodeCode Available | 0 |
| Deep Neyman-Scott Processes | Nov 6, 2021 | Point Processes | CodeCode Available | 0 |
| Faster Greedy MAP Inference for Determinantal Point Processes | Mar 9, 2017 | Point Processes | CodeCode Available | 0 |
| Fast Estimation of Causal Interactions using Wold Processes | Jul 12, 2018 | Point Processes | CodeCode Available | 0 |
| 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 |
