| Learning Neural Event Functions for Ordinary Differential Equations | Nov 8, 2020 | Point Processes | CodeCode Available | 3 |
| A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes | Jan 8, 2025 | Point Processes | CodeCode Available | 2 |
| DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction | Aug 23, 2024 | DiversityPoint Processes | CodeCode Available | 2 |
| HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? | Jun 20, 2024 | BenchmarkingPoint Processes | CodeCode Available | 2 |
| EasyTPP: Towards Open Benchmarking Temporal Point Processes | Jul 16, 2023 | BenchmarkingPoint Processes | CodeCode Available | 2 |
| Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations | May 19, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 |
| TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes | Oct 30, 2024 | Point Processes | CodeCode Available | 1 |
| TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models | Oct 2, 2024 | Computational Efficiencyparameter-efficient fine-tuning | CodeCode Available | 1 |
| Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families | Feb 14, 2024 | Gaussian ProcessesPoint Processes | CodeCode Available | 1 |
| Automatic Integration for Spatiotemporal Neural Point Processes | Oct 9, 2023 | Point Processes | CodeCode Available | 1 |
