| Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes | Sep 23, 2021 | Point Processes | CodeCode Available | 0 |
| Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes | Jul 1, 2022 | Point Processes | CodeCode Available | 0 |
| Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn Dynamics | Mar 20, 2025 | Deep Reinforcement LearningDiversity | CodeCode Available | 0 |
| Scalable Sampling for Nonsymmetric Determinantal Point Processes | Jan 20, 2022 | Point Processes | CodeCode Available | 0 |
| PoPPy: A Point Process Toolbox Based on PyTorch | Oct 23, 2018 | Point Processes | CodeCode Available | 0 |
| Kronecker Determinantal Point Processes | May 26, 2016 | Point ProcessesStochastic Optimization | CodeCode Available | 0 |
| Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes | May 21, 2023 | Point Processes | CodeCode Available | 0 |
| Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes | Nov 5, 2022 | Point Processes | CodeCode Available | 0 |
| Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport | Jan 24, 2022 | Point ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Lazy and Fast Greedy MAP Inference for Determinantal Point Process | Jun 13, 2022 | Point Processes | CodeCode Available | 0 |
