point process

Order-Dependent Event Models for Agent Interactions IJCAI 2020 Point process models for sequence detection in high-dimensional neural spike trains NeurIPS 2020 Self-Attentive Hawkes Process ICML 2020 Self-Modulating Nonparametric Event-Tensor Factorization ICML 2020 Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020 Temporal Logic Point Processes ICML 2020 Transformer Hawkes Process ICML 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 A Stein–Papangelou Goodness-of-Fit Test for Point Processes AISTATS 2019 A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019 Deep Random Splines for Point Process Intensity Estimation of Neural Population Data NeurIPS 2019 Efficient Inference in Multi-task Cox Process Models AISTATS 2019 Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Hawkes Processes Under Synchronization Noise ICML 2019 Learning Positive Functions with Pseudo Mirror Descent NeurIPS 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 Mutually Regressive Point Processes NeurIPS 2019 Neural Jump Stochastic Differential Equations NeurIPS 2019 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NeurIPS 2019 Thinning for Accelerating the Learning of Point Processes NeurIPS 2019 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018