| A Polynomial Time MCMC Method for Sampling from Continuous DPPs | Oct 20, 2018 | Point Processes | —Unverified | 0 |
| Determinantal thinning of point processes with network learning applications | Oct 9, 2018 | Point ProcessesScheduling | CodeCode Available | 0 |
| Markov Properties of Discrete Determinantal Point Processes | Oct 4, 2018 | Point Processes | —Unverified | 0 |
| Clinical Risk: wavelet reconstruction networks for marked point processes | Sep 27, 2018 | Point Processes | —Unverified | 0 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 |
| Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction | Aug 13, 2018 | Activity PredictionPoint Processes | —Unverified | 0 |
| Improving Sequential Determinantal Point Processes for Supervised Video Summarization | Jul 28, 2018 | DiversityPoint Processes | —Unverified | 0 |
| Disentangling and quantifying market participant volatility contributions | Jul 18, 2018 | Point Processes | —Unverified | 0 |
| Fast Estimation of Causal Interactions using Wold Processes | Jul 12, 2018 | Point Processes | CodeCode Available | 0 |
| How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization | Jul 11, 2018 | DiversityPoint Processes | —Unverified | 0 |
