intensity function

Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling JMLR 2026 Evolving Minds: Logic-Informed Inference from Temporal Action Patterns ICML 2025 Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025 Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis ICML 2025 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Automatic Integration for Fast and Interpretable Neural Point Processes L4DC 2023 Automatic Integration for Spatiotemporal Neural Point Processes NeurIPS 2023 Inference for mark-censored temporal point processes UAI 2023 Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NeurIPS 2023 Spatio-temporal point processes with deep non-stationary kernels ICLR 2023 Counterfactual Temporal Point Processes NeurIPS 2022 Interval-censored Hawkes processes JMLR 2022 Neural Point Process for Learning Spatiotemporal Event Dynamics L4DC 2022 Multi-stream based marked point process ACML 2021 UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021 Hawkesian Graphical Event Models PGM 2020 Temporal Logic Point Processes ICML 2020 Fully Neural Network based Model for General Temporal Point Processes NeurIPS 2019 Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019 Learning Positive Functions with Pseudo Mirror Descent NeurIPS 2019 Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NeurIPS 2019 Isotonic Hawkes Processes ICML 2016 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006