cox process

Neural Diffusion Intensity Models for Point Process Data UAI 2026 Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024 Survival Permanental Processes for Survival Analysis with Time-Varying Covariates NeurIPS 2023 Deep Neyman-Scott Processes AISTATS 2022 Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019 Structured Variational Inference in Continuous Cox Process Models NeurIPS 2019 Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018 Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018 Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data ICML 2018 Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017 Poisson intensity estimation with reproducing kernels AISTATS 2017 Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015