| Selective linear segmentation for detecting relevant parameter changes | Feb 8, 2024 | Model SelectionPoint Processes | —Unverified | 0 | 0 |
| Self-Adaptable Point Processes with Nonparametric Time Decays | Dec 1, 2021 | Point Processes | —Unverified | 0 | 0 |
| Self-Modulating Nonparametric Event-Tensor Factorization | Jan 1, 2020 | Point ProcessesStochastic Optimization | —Unverified | 0 | 0 |
| Self-Supervised Contrastive Pre-Training for Multivariate Point Processes | Feb 1, 2024 | Point ProcessesRepresentation Learning | —Unverified | 0 | 0 |
| Semi-supervised Learning for Marked Temporal Point Processes | Jul 16, 2021 | DecoderPoint Processes | —Unverified | 0 | 0 |
| Sequential change-point detection for mutually exciting point processes over networks | Feb 10, 2021 | Change DetectionChange Point Detection | —Unverified | 0 | 0 |
| Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes processes | Jun 3, 2020 | Point Processes | —Unverified | 0 | 0 |
| Shape from Texture using Locally Scaled Point Processes | Nov 28, 2013 | Point ProcessesShape from Texture | —Unverified | 0 | 0 |
| Signal reconstruction using determinantal sampling | Oct 13, 2023 | Point Processes | —Unverified | 0 | 0 |
| From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization | Feb 10, 2021 | Point Processes | —Unverified | 0 | 0 |
