| 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 |
| Prompt-augmented Temporal Point Process for Streaming Event Sequence | Oct 8, 2023 | Continual LearningPoint Processes | CodeCode Available | 1 |
| Rumor Detection with Diverse Counterfactual Evidence | Jul 18, 2023 | counterfactualDiversity | CodeCode Available | 1 |
| Spatio-temporal Diffusion Point Processes | May 21, 2023 | EpidemiologyPoint Processes | CodeCode Available | 1 |
| Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis | Feb 18, 2023 | Point Processes | CodeCode Available | 1 |
| Compositional Exemplars for In-context Learning | Feb 11, 2023 | Code GenerationContrastive Learning | CodeCode Available | 1 |
| TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs | Mar 7, 2022 | Point ProcessesTransfer Learning | CodeCode Available | 1 |
| Memory Replay with Data Compression for Continual Learning | Feb 14, 2022 | Autonomous Drivingclass-incremental learning | CodeCode Available | 1 |
| Neural Point Process for Learning Spatiotemporal Event Dynamics | Dec 12, 2021 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Counterfactual Temporal Point Processes | Nov 15, 2021 | counterfactualPoint Processes | CodeCode Available | 1 |
| Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay | Aug 17, 2021 | Deep Reinforcement LearningDiversity | CodeCode Available | 1 |
| STRODE: Stochastic Boundary Ordinary Differential Equation | Jul 17, 2021 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 1 |
| Neural Spectral Marked Point Processes | Jun 20, 2021 | Point Processes | CodeCode Available | 1 |
| PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design | Jun 7, 2021 | Design SynthesisDiversity | CodeCode Available | 1 |
| How Certain is Your Transformer? | Apr 1, 2021 | Natural Language UnderstandingPoint Processes | CodeCode Available | 1 |
| 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 |
| Probabilistic Time Series Forecasting with Shape and Temporal Diversity | Dec 1, 2020 | DiversityPoint Processes | CodeCode Available | 1 |
| Neural Spatio-Temporal Point Processes | Nov 9, 2020 | EpidemiologyPoint Processes | CodeCode Available | 1 |
| Noise-Contrastive Estimation for Multivariate Point Processes | Nov 2, 2020 | parameter estimationPoint Processes | CodeCode Available | 1 |
| Particle gradient descent model for point process generation | Oct 27, 2020 | modelPoint Processes | CodeCode Available | 1 |
| Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity | Oct 14, 2020 | DiversityPoint Processes | CodeCode Available | 1 |
| MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization | Sep 15, 2020 | Generative Adversarial NetworkPoint Processes | CodeCode Available | 1 |
| Neural Temporal Point Processes For Modelling Electronic Health Records | Jul 27, 2020 | Point Processes | CodeCode Available | 1 |
| Fast and Flexible Temporal Point Processes with Triangular Maps | Jun 22, 2020 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes | Jun 17, 2020 | Point Processes | CodeCode Available | 1 |
| METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design | Jun 1, 2020 | Physical SimulationsPoint 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 |
| PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs | Feb 26, 2020 | Design SynthesisDiversity | CodeCode Available | 1 |
| Transformer Hawkes Process | Feb 21, 2020 | Computational EfficiencyPoint Processes | CodeCode Available | 1 |
| Effective Diversity in Population Based Reinforcement Learning | Feb 3, 2020 | DiversityPoint Processes | CodeCode Available | 1 |
| Learning Nonsymmetric Determinantal Point Processes | May 30, 2019 | Information RetrievalPoint Processes | CodeCode Available | 1 |
| Neural Jump Stochastic Differential Equations | May 24, 2019 | Point ProcessesTime Series | CodeCode Available | 1 |
| Enhancing human learning via spaced repetition optimization | Jan 22, 2019 | MemorizationPoint Processes | CodeCode Available | 1 |
| Learning Granger Causality for Hawkes Processes | Feb 14, 2016 | ClusteringPoint Processes | CodeCode Available | 1 |
| Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet | Nov 4, 2014 | Object RecognitionPoint Processes | CodeCode Available | 1 |
| MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval | Jul 9, 2025 | DiversityImage Retrieval | CodeCode Available | 0 |
| Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection | Jun 26, 2025 | Objectobject-detection | CodeCode Available | 0 |
| Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design | Jun 26, 2025 | Drug DesignDrug Discovery | —Unverified | 0 |
| Urban RIS-Assisted HAP Networks: Performance Analysis Using Stochastic Geometry | Jun 18, 2025 | Point Processes | —Unverified | 0 |
| Uncovering Social Network Activity Using Joint User and Topic Interaction | Jun 15, 2025 | Point Processes | —Unverified | 0 |
