point process

Kronecker-Structured Nonparametric Spatiotemporal Point Processes UAI 2026 Neural Diffusion Intensity Models for Point Process Data UAI 2026 WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations AAAI 2026 Learning Spatiotemporal Dynamical Systems from Point Process Observations ICLR 2025 Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025 Unlocking Point Processes through Point Set Diffusion ICLR 2025 DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024 Decomposable Transformer Point Processes NeurIPS 2024 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions UAI 2024 Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Latent variable model for high-dimensional point process with structured missingness ICML 2024 Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024 Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability NeurIPS 2023 Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023 Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics UAI 2023 Inference and sampling of point processes from diffusion excursions UAI 2023 Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes NeurIPS 2023 Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023 Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023 Spatio-temporal point processes with deep non-stationary kernels ICLR 2023 Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions NeurIPS 2023 Variational Inference for Neyman-Scott Processes AISTATS 2023 Anytime Information Cascade Popularity Prediction via Self-Exciting Processes ICML 2022 Deep Neyman-Scott Processes AISTATS 2022