| Latent Network Structure Learning from High Dimensional Multivariate Point Processes | Apr 7, 2020 | Functional ConnectivityPoint Processes | —Unverified | 0 |
| Probabilistic Caching for Small-Cell Networks with Terrestrial and Aerial Users | Mar 30, 2020 | Point Processes | —Unverified | 0 |
| Convex Parameter Recovery for Interacting Marked Processes | Mar 29, 2020 | parameter estimationPoint Processes | —Unverified | 0 |
| Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions | Mar 16, 2020 | Point ProcessesTime Series | —Unverified | 0 |
| Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels | Mar 7, 2020 | Crime PredictionPoint Processes | —Unverified | 0 |
| Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees | Mar 7, 2020 | Point ProcessesTime Series | —Unverified | 0 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 |
| Learning Multivariate Hawkes Processes at Scale | Feb 28, 2020 | Point Processes | —Unverified | 0 |
| PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs | Feb 26, 2020 | Design SynthesisDiversity | CodeCode Available | 1 |
| Kernel interpolation with continuous volume sampling | Feb 22, 2020 | Density EstimationPoint Processes | —Unverified | 0 |
