| Learning Neural Event Functions for Ordinary Differential Equations | Nov 8, 2020 | Point Processes | CodeCode Available | 3 |
| HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? | Jun 20, 2024 | BenchmarkingPoint Processes | CodeCode Available | 2 |
| Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations | May 19, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 2 |
| 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 |
| EasyTPP: Towards Open Benchmarking Temporal Point Processes | Jul 16, 2023 | BenchmarkingPoint Processes | CodeCode Available | 2 |
| Modelling Behavioural Diversity for Learning in Open-Ended Games | Mar 14, 2021 | DiversityPoint Processes | CodeCode Available | 1 |
| Long Horizon Forecasting With Temporal Point Processes | Jan 8, 2021 | Point Processes | CodeCode Available | 1 |
| MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization | Sep 15, 2020 | Generative Adversarial NetworkPoint Processes | CodeCode Available | 1 |
| Enhancing human learning via spaced repetition optimization | Jan 22, 2019 | MemorizationPoint Processes | CodeCode Available | 1 |
| How Certain is Your Transformer? | Apr 1, 2021 | Natural Language UnderstandingPoint Processes | CodeCode Available | 1 |
| Learning Nonsymmetric Determinantal Point Processes | May 30, 2019 | Information RetrievalPoint Processes | CodeCode Available | 1 |
| Memory Replay with Data Compression for Continual Learning | Feb 14, 2022 | Autonomous Drivingclass-incremental learning | CodeCode Available | 1 |
| METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design | Jun 1, 2020 | Physical SimulationsPoint Processes | CodeCode Available | 1 |
| Effective Diversity in Population Based Reinforcement Learning | Feb 3, 2020 | DiversityPoint Processes | CodeCode Available | 1 |
| Fast and Flexible Temporal Point Processes with Triangular Maps | Jun 22, 2020 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Counterfactual Temporal Point Processes | Nov 15, 2021 | counterfactualPoint Processes | CodeCode Available | 1 |
| Compositional Exemplars for In-context Learning | Feb 11, 2023 | Code GenerationContrastive Learning | CodeCode Available | 1 |
| Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay | Aug 17, 2021 | Deep Reinforcement LearningDiversity | CodeCode Available | 1 |
| Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet | Nov 4, 2014 | Object RecognitionPoint Processes | CodeCode Available | 1 |
| Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots | Apr 15, 2020 | Bayesian OptimizationPoint Processes | 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 |
| Learning Granger Causality for Hawkes Processes | Feb 14, 2016 | ClusteringPoint Processes | CodeCode Available | 1 |
| Neural Jump Stochastic Differential Equations | May 24, 2019 | Point ProcessesTime Series | CodeCode Available | 1 |
